AlekseyKorshuk commited on
Commit
14ac1f8
1 Parent(s): 684741f

huggingartists

Browse files
README.md ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: en
3
+ datasets:
4
+ - huggingartists/25-17
5
+ tags:
6
+ - huggingartists
7
+ - lyrics
8
+ - lm-head
9
+ - causal-lm
10
+ widget:
11
+ - text: "I am"
12
+ ---
13
+
14
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
15
+ <div class="flex">
16
+ <div
17
+ style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/4fedc5dd2830a874a5274bf1cac62002.1000x1000x1.jpg&#39;)">
18
+ </div>
19
+ </div>
20
+ <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
21
+ <div style="text-align: center; font-size: 16px; font-weight: 800">25/17</div>
22
+ <a href="https://genius.com/artists/25-17">
23
+ <div style="text-align: center; font-size: 14px;">@25-17</div>
24
+ </a>
25
+ </div>
26
+
27
+ I was made with [huggingartists](https://github.com/AlekseyKorshuk/huggingartists).
28
+
29
+ Create your own bot based on your favorite artist with [the demo](https://colab.research.google.com/github/AlekseyKorshuk/huggingartists/blob/master/huggingartists-demo.ipynb)!
30
+
31
+ ## How does it work?
32
+
33
+ To understand how the model was developed, check the [W&B report](https://wandb.ai/huggingartists/huggingartists/reportlist).
34
+
35
+ ## Training data
36
+
37
+ The model was trained on lyrics from 25/17.
38
+
39
+ Dataset is available [here](https://huggingface.co/datasets/huggingartists/25-17).
40
+ And can be used with:
41
+
42
+ ```python
43
+ from datasets import load_dataset
44
+
45
+ dataset = load_dataset("huggingartists/25-17")
46
+ ```
47
+
48
+ [Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1iuytbjp/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
49
+
50
+ ## Training procedure
51
+
52
+ The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on 25/17's lyrics.
53
+
54
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/knv4l4gw) for full transparency and reproducibility.
55
+
56
+ At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/knv4l4gw/artifacts) is logged and versioned.
57
+
58
+ ## How to use
59
+
60
+ You can use this model directly with a pipeline for text generation:
61
+
62
+ ```python
63
+ from transformers import pipeline
64
+ generator = pipeline('text-generation',
65
+ model='huggingartists/25-17')
66
+ generator("I am", num_return_sequences=5)
67
+ ```
68
+
69
+ Or with Transformers library:
70
+
71
+ ```python
72
+ from transformers import AutoTokenizer, AutoModelWithLMHead
73
+
74
+ tokenizer = AutoTokenizer.from_pretrained("huggingartists/25-17")
75
+
76
+ model = AutoModelWithLMHead.from_pretrained("huggingartists/25-17")
77
+ ```
78
+
79
+ ## Limitations and bias
80
+
81
+ The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
82
+
83
+ In addition, the data present in the user's tweets further affects the text generated by the model.
84
+
85
+ ## About
86
+
87
+ *Built by Aleksey Korshuk*
88
+
89
+ [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
90
+
91
+ [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
92
+
93
+ [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
94
+
95
+ For more details, visit the project repository.
96
+
97
+ [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "gpt2",
3
+ "activation_function": "gelu_new",
4
+ "architectures": [
5
+ "GPT2LMHeadModel"
6
+ ],
7
+ "attn_pdrop": 0.1,
8
+ "bos_token_id": 50256,
9
+ "embd_pdrop": 0.1,
10
+ "eos_token_id": 50256,
11
+ "gradient_checkpointing": false,
12
+ "initializer_range": 0.02,
13
+ "layer_norm_epsilon": 1e-05,
14
+ "model_type": "gpt2",
15
+ "n_ctx": 1024,
16
+ "n_embd": 768,
17
+ "n_head": 12,
18
+ "n_inner": null,
19
+ "n_layer": 12,
20
+ "n_positions": 1024,
21
+ "resid_pdrop": 0.1,
22
+ "scale_attn_weights": true,
23
+ "summary_activation": null,
24
+ "summary_first_dropout": 0.1,
25
+ "summary_proj_to_labels": true,
26
+ "summary_type": "cls_index",
27
+ "summary_use_proj": true,
28
+ "task_specific_params": {
29
+ "text-generation": {
30
+ "do_sample": true,
31
+ "max_length": 200,
32
+ "min_length": 100,
33
+ "temperature": 1.0,
34
+ "top_p": 0.95
35
+ }
36
+ },
37
+ "torch_dtype": "float32",
38
+ "transformers_version": "4.10.0",
39
+ "use_cache": true,
40
+ "vocab_size": 50257
41
+ }
evaluation.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 1.6076909303665161, "eval_runtime": 11.2247, "eval_samples_per_second": 22.272, "eval_steps_per_second": 2.851, "epoch": 10.0}
flax_model.msgpack ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e30f8e3e98d7e1eab1534464337cf1df83454afdc21bfc611403eca4b6a6b55
3
+ size 497764120
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43b7fdb4985b5042f3736c16d0dd1a10c208219dfb95c8d516960509f84117c5
3
+ size 995604017
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:503e863a0ddc535df35fe61eb7291cc415bc6d4af03f7e5b2d6a23012047cd05
3
+ size 510403817
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8839fa7c1d5ac091af7e102d7073e13e2c146e3461199c57b41b7a67125b30f9
3
+ size 14567
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdcbe2cd667ec2ff2d044736131108f10674ad88ef2e532728468bea674f4cb8
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,1816 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.6076909303665161,
3
+ "best_model_checkpoint": "output/25-17/checkpoint-1440",
4
+ "epoch": 9.0,
5
+ "global_step": 1440,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 0.0001368696722497127,
13
+ "loss": 2.507,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.06,
18
+ "learning_rate": 0.0001358818702356616,
19
+ "loss": 2.2788,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.09,
24
+ "learning_rate": 0.00013424610703122953,
25
+ "loss": 2.1702,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.12,
30
+ "learning_rate": 0.00013197813593027427,
31
+ "loss": 2.0479,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.16,
36
+ "learning_rate": 0.00012909979873429716,
37
+ "loss": 2.0181,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.19,
42
+ "learning_rate": 0.0001256388154039546,
43
+ "loss": 2.0362,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.22,
48
+ "learning_rate": 0.00012162851710068375,
49
+ "loss": 2.1176,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.25,
54
+ "learning_rate": 0.00011710752518939715,
55
+ "loss": 1.9178,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.28,
60
+ "learning_rate": 0.00011211937929362608,
61
+ "loss": 2.0539,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.31,
66
+ "learning_rate": 0.00010671211798514472,
67
+ "loss": 1.9318,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.34,
72
+ "learning_rate": 0.00010093781614626346,
73
+ "loss": 2.0317,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.38,
78
+ "learning_rate": 9.485208346024516e-05,
79
+ "loss": 1.9618,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.41,
84
+ "learning_rate": 8.851352885965611e-05,
85
+ "loss": 1.9205,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.44,
90
+ "learning_rate": 8.19831960903064e-05,
91
+ "loss": 1.8521,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.47,
96
+ "learning_rate": 7.532397582660788e-05,
97
+ "loss": 1.8699,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.5,
102
+ "learning_rate": 6.86e-05,
103
+ "loss": 1.9852,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.53,
108
+ "learning_rate": 6.187602417339214e-05,
109
+ "loss": 1.8576,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.56,
114
+ "learning_rate": 5.52168039096936e-05,
115
+ "loss": 1.93,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.59,
120
+ "learning_rate": 4.8686471140343896e-05,
121
+ "loss": 2.0017,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.62,
126
+ "learning_rate": 4.2347916539754844e-05,
127
+ "loss": 1.9962,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.66,
132
+ "learning_rate": 3.6262183853736556e-05,
133
+ "loss": 1.9731,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.69,
138
+ "learning_rate": 3.0487882014855305e-05,
139
+ "loss": 1.9197,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.72,
144
+ "learning_rate": 2.5080620706373927e-05,
145
+ "loss": 1.8595,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.75,
150
+ "learning_rate": 2.0092474810602843e-05,
151
+ "loss": 1.925,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 0.78,
156
+ "learning_rate": 1.557148289931624e-05,
157
+ "loss": 1.9259,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 0.81,
162
+ "learning_rate": 1.1561184596045389e-05,
163
+ "loss": 1.8582,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 0.84,
168
+ "learning_rate": 8.100201265702852e-06,
169
+ "loss": 1.8858,
170
+ "step": 135
171
+ },
172
+ {
173
+ "epoch": 0.88,
174
+ "learning_rate": 5.22186406972573e-06,
175
+ "loss": 1.8995,
176
+ "step": 140
177
+ },
178
+ {
179
+ "epoch": 0.91,
180
+ "learning_rate": 2.953892968770475e-06,
181
+ "loss": 1.9137,
182
+ "step": 145
183
+ },
184
+ {
185
+ "epoch": 0.94,
186
+ "learning_rate": 1.3181297643383925e-06,
187
+ "loss": 1.8872,
188
+ "step": 150
189
+ },
190
+ {
191
+ "epoch": 0.97,
192
+ "learning_rate": 3.303277502872983e-07,
193
+ "loss": 1.8137,
194
+ "step": 155
195
+ },
196
+ {
197
+ "epoch": 1.0,
198
+ "learning_rate": 0.0,
199
+ "loss": 1.9111,
200
+ "step": 160
201
+ },
202
+ {
203
+ "epoch": 1.0,
204
+ "eval_loss": 1.8344975709915161,
205
+ "eval_runtime": 11.0703,
206
+ "eval_samples_per_second": 22.583,
207
+ "eval_steps_per_second": 2.891,
208
+ "step": 160
209
+ },
210
+ {
211
+ "epoch": 1.03,
212
+ "learning_rate": 3.303277502872907e-07,
213
+ "loss": 1.8983,
214
+ "step": 165
215
+ },
216
+ {
217
+ "epoch": 1.06,
218
+ "learning_rate": 1.3181297643383925e-06,
219
+ "loss": 1.8515,
220
+ "step": 170
221
+ },
222
+ {
223
+ "epoch": 1.09,
224
+ "learning_rate": 2.9538929687704672e-06,
225
+ "loss": 1.8853,
226
+ "step": 175
227
+ },
228
+ {
229
+ "epoch": 1.12,
230
+ "learning_rate": 5.2218640697257225e-06,
231
+ "loss": 1.8512,
232
+ "step": 180
233
+ },
234
+ {
235
+ "epoch": 1.16,
236
+ "learning_rate": 8.100201265702843e-06,
237
+ "loss": 1.8684,
238
+ "step": 185
239
+ },
240
+ {
241
+ "epoch": 1.19,
242
+ "learning_rate": 1.1561184596045382e-05,
243
+ "loss": 1.8168,
244
+ "step": 190
245
+ },
246
+ {
247
+ "epoch": 1.22,
248
+ "learning_rate": 1.5571482899316234e-05,
249
+ "loss": 1.876,
250
+ "step": 195
251
+ },
252
+ {
253
+ "epoch": 1.25,
254
+ "learning_rate": 2.009247481060283e-05,
255
+ "loss": 1.8544,
256
+ "step": 200
257
+ },
258
+ {
259
+ "epoch": 1.28,
260
+ "learning_rate": 2.508062070637389e-05,
261
+ "loss": 1.7766,
262
+ "step": 205
263
+ },
264
+ {
265
+ "epoch": 1.31,
266
+ "learning_rate": 3.048788201485529e-05,
267
+ "loss": 1.9737,
268
+ "step": 210
269
+ },
270
+ {
271
+ "epoch": 1.34,
272
+ "learning_rate": 3.626218385373654e-05,
273
+ "loss": 1.8173,
274
+ "step": 215
275
+ },
276
+ {
277
+ "epoch": 1.38,
278
+ "learning_rate": 4.234791653975481e-05,
279
+ "loss": 1.7998,
280
+ "step": 220
281
+ },
282
+ {
283
+ "epoch": 1.41,
284
+ "learning_rate": 4.8686471140343875e-05,
285
+ "loss": 1.8463,
286
+ "step": 225
287
+ },
288
+ {
289
+ "epoch": 1.44,
290
+ "learning_rate": 5.5216803909693576e-05,
291
+ "loss": 1.8385,
292
+ "step": 230
293
+ },
294
+ {
295
+ "epoch": 1.47,
296
+ "learning_rate": 6.187602417339216e-05,
297
+ "loss": 1.8556,
298
+ "step": 235
299
+ },
300
+ {
301
+ "epoch": 1.5,
302
+ "learning_rate": 6.859999999999999e-05,
303
+ "loss": 1.7617,
304
+ "step": 240
305
+ },
306
+ {
307
+ "epoch": 1.53,
308
+ "learning_rate": 7.532397582660782e-05,
309
+ "loss": 1.7911,
310
+ "step": 245
311
+ },
312
+ {
313
+ "epoch": 1.56,
314
+ "learning_rate": 8.19831960903064e-05,
315
+ "loss": 1.7528,
316
+ "step": 250
317
+ },
318
+ {
319
+ "epoch": 1.59,
320
+ "learning_rate": 8.85135288596561e-05,
321
+ "loss": 1.8805,
322
+ "step": 255
323
+ },
324
+ {
325
+ "epoch": 1.62,
326
+ "learning_rate": 9.485208346024518e-05,
327
+ "loss": 1.9808,
328
+ "step": 260
329
+ },
330
+ {
331
+ "epoch": 1.66,
332
+ "learning_rate": 0.00010093781614626343,
333
+ "loss": 1.8408,
334
+ "step": 265
335
+ },
336
+ {
337
+ "epoch": 1.69,
338
+ "learning_rate": 0.00010671211798514468,
339
+ "loss": 1.9133,
340
+ "step": 270
341
+ },
342
+ {
343
+ "epoch": 1.72,
344
+ "learning_rate": 0.00011211937929362609,
345
+ "loss": 1.8695,
346
+ "step": 275
347
+ },
348
+ {
349
+ "epoch": 1.75,
350
+ "learning_rate": 0.00011710752518939715,
351
+ "loss": 1.8373,
352
+ "step": 280
353
+ },
354
+ {
355
+ "epoch": 1.78,
356
+ "learning_rate": 0.00012162851710068373,
357
+ "loss": 1.7998,
358
+ "step": 285
359
+ },
360
+ {
361
+ "epoch": 1.81,
362
+ "learning_rate": 0.0001256388154039546,
363
+ "loss": 1.9473,
364
+ "step": 290
365
+ },
366
+ {
367
+ "epoch": 1.84,
368
+ "learning_rate": 0.00012909979873429716,
369
+ "loss": 1.8208,
370
+ "step": 295
371
+ },
372
+ {
373
+ "epoch": 1.88,
374
+ "learning_rate": 0.00013197813593027427,
375
+ "loss": 1.8304,
376
+ "step": 300
377
+ },
378
+ {
379
+ "epoch": 1.91,
380
+ "learning_rate": 0.00013424610703122953,
381
+ "loss": 1.7997,
382
+ "step": 305
383
+ },
384
+ {
385
+ "epoch": 1.94,
386
+ "learning_rate": 0.0001358818702356616,
387
+ "loss": 1.8045,
388
+ "step": 310
389
+ },
390
+ {
391
+ "epoch": 1.97,
392
+ "learning_rate": 0.0001368696722497127,
393
+ "loss": 1.8645,
394
+ "step": 315
395
+ },
396
+ {
397
+ "epoch": 2.0,
398
+ "learning_rate": 0.0001372,
399
+ "loss": 1.8994,
400
+ "step": 320
401
+ },
402
+ {
403
+ "epoch": 2.0,
404
+ "eval_loss": 1.8014581203460693,
405
+ "eval_runtime": 11.0626,
406
+ "eval_samples_per_second": 22.599,
407
+ "eval_steps_per_second": 2.893,
408
+ "step": 320
409
+ },
410
+ {
411
+ "epoch": 2.03,
412
+ "learning_rate": 0.0001368696722497127,
413
+ "loss": 1.7444,
414
+ "step": 325
415
+ },
416
+ {
417
+ "epoch": 2.06,
418
+ "learning_rate": 0.0001358818702356616,
419
+ "loss": 1.8609,
420
+ "step": 330
421
+ },
422
+ {
423
+ "epoch": 2.09,
424
+ "learning_rate": 0.00013424610703122953,
425
+ "loss": 1.6945,
426
+ "step": 335
427
+ },
428
+ {
429
+ "epoch": 2.12,
430
+ "learning_rate": 0.00013197813593027427,
431
+ "loss": 1.7166,
432
+ "step": 340
433
+ },
434
+ {
435
+ "epoch": 2.16,
436
+ "learning_rate": 0.00012909979873429716,
437
+ "loss": 1.738,
438
+ "step": 345
439
+ },
440
+ {
441
+ "epoch": 2.19,
442
+ "learning_rate": 0.0001256388154039546,
443
+ "loss": 1.8311,
444
+ "step": 350
445
+ },
446
+ {
447
+ "epoch": 2.22,
448
+ "learning_rate": 0.00012162851710068375,
449
+ "loss": 1.7936,
450
+ "step": 355
451
+ },
452
+ {
453
+ "epoch": 2.25,
454
+ "learning_rate": 0.00011710752518939717,
455
+ "loss": 1.7759,
456
+ "step": 360
457
+ },
458
+ {
459
+ "epoch": 2.28,
460
+ "learning_rate": 0.00011211937929362612,
461
+ "loss": 1.8082,
462
+ "step": 365
463
+ },
464
+ {
465
+ "epoch": 2.31,
466
+ "learning_rate": 0.00010671211798514472,
467
+ "loss": 1.7213,
468
+ "step": 370
469
+ },
470
+ {
471
+ "epoch": 2.34,
472
+ "learning_rate": 0.00010093781614626346,
473
+ "loss": 1.7968,
474
+ "step": 375
475
+ },
476
+ {
477
+ "epoch": 2.38,
478
+ "learning_rate": 9.48520834602452e-05,
479
+ "loss": 1.8208,
480
+ "step": 380
481
+ },
482
+ {
483
+ "epoch": 2.41,
484
+ "learning_rate": 8.851352885965613e-05,
485
+ "loss": 1.6572,
486
+ "step": 385
487
+ },
488
+ {
489
+ "epoch": 2.44,
490
+ "learning_rate": 8.198319609030645e-05,
491
+ "loss": 1.8122,
492
+ "step": 390
493
+ },
494
+ {
495
+ "epoch": 2.47,
496
+ "learning_rate": 7.532397582660786e-05,
497
+ "loss": 1.7665,
498
+ "step": 395
499
+ },
500
+ {
501
+ "epoch": 2.5,
502
+ "learning_rate": 6.860000000000001e-05,
503
+ "loss": 1.8777,
504
+ "step": 400
505
+ },
506
+ {
507
+ "epoch": 2.53,
508
+ "learning_rate": 6.187602417339219e-05,
509
+ "loss": 1.6834,
510
+ "step": 405
511
+ },
512
+ {
513
+ "epoch": 2.56,
514
+ "learning_rate": 5.5216803909693664e-05,
515
+ "loss": 1.7483,
516
+ "step": 410
517
+ },
518
+ {
519
+ "epoch": 2.59,
520
+ "learning_rate": 4.868647114034385e-05,
521
+ "loss": 1.6818,
522
+ "step": 415
523
+ },
524
+ {
525
+ "epoch": 2.62,
526
+ "learning_rate": 4.234791653975484e-05,
527
+ "loss": 1.7057,
528
+ "step": 420
529
+ },
530
+ {
531
+ "epoch": 2.66,
532
+ "learning_rate": 3.6262183853736576e-05,
533
+ "loss": 1.8172,
534
+ "step": 425
535
+ },
536
+ {
537
+ "epoch": 2.69,
538
+ "learning_rate": 3.0487882014855322e-05,
539
+ "loss": 1.7146,
540
+ "step": 430
541
+ },
542
+ {
543
+ "epoch": 2.72,
544
+ "learning_rate": 2.5080620706373965e-05,
545
+ "loss": 1.6912,
546
+ "step": 435
547
+ },
548
+ {
549
+ "epoch": 2.75,
550
+ "learning_rate": 2.0092474810602897e-05,
551
+ "loss": 1.7294,
552
+ "step": 440
553
+ },
554
+ {
555
+ "epoch": 2.78,
556
+ "learning_rate": 1.5571482899316234e-05,
557
+ "loss": 1.7523,
558
+ "step": 445
559
+ },
560
+ {
561
+ "epoch": 2.81,
562
+ "learning_rate": 1.1561184596045404e-05,
563
+ "loss": 1.768,
564
+ "step": 450
565
+ },
566
+ {
567
+ "epoch": 2.84,
568
+ "learning_rate": 8.100201265702858e-06,
569
+ "loss": 1.6234,
570
+ "step": 455
571
+ },
572
+ {
573
+ "epoch": 2.88,
574
+ "learning_rate": 5.221864069725753e-06,
575
+ "loss": 1.7473,
576
+ "step": 460
577
+ },
578
+ {
579
+ "epoch": 2.91,
580
+ "learning_rate": 2.9538929687704977e-06,
581
+ "loss": 1.8052,
582
+ "step": 465
583
+ },
584
+ {
585
+ "epoch": 2.94,
586
+ "learning_rate": 1.318129764338385e-06,
587
+ "loss": 1.6156,
588
+ "step": 470
589
+ },
590
+ {
591
+ "epoch": 2.97,
592
+ "learning_rate": 3.303277502872907e-07,
593
+ "loss": 1.6744,
594
+ "step": 475
595
+ },
596
+ {
597
+ "epoch": 3.0,
598
+ "learning_rate": 0.0,
599
+ "loss": 1.7333,
600
+ "step": 480
601
+ },
602
+ {
603
+ "epoch": 3.0,
604
+ "eval_loss": 1.7123054265975952,
605
+ "eval_runtime": 11.0761,
606
+ "eval_samples_per_second": 22.571,
607
+ "eval_steps_per_second": 2.889,
608
+ "step": 480
609
+ },
610
+ {
611
+ "epoch": 3.03,
612
+ "learning_rate": 3.303277502872907e-07,
613
+ "loss": 1.6392,
614
+ "step": 485
615
+ },
616
+ {
617
+ "epoch": 3.06,
618
+ "learning_rate": 1.3181297643383773e-06,
619
+ "loss": 1.6924,
620
+ "step": 490
621
+ },
622
+ {
623
+ "epoch": 3.09,
624
+ "learning_rate": 2.9538929687704825e-06,
625
+ "loss": 1.667,
626
+ "step": 495
627
+ },
628
+ {
629
+ "epoch": 3.12,
630
+ "learning_rate": 5.22186406972573e-06,
631
+ "loss": 1.6132,
632
+ "step": 500
633
+ },
634
+ {
635
+ "epoch": 3.16,
636
+ "learning_rate": 8.100201265702836e-06,
637
+ "loss": 1.6915,
638
+ "step": 505
639
+ },
640
+ {
641
+ "epoch": 3.19,
642
+ "learning_rate": 1.1561184596045374e-05,
643
+ "loss": 1.6571,
644
+ "step": 510
645
+ },
646
+ {
647
+ "epoch": 3.22,
648
+ "learning_rate": 1.5571482899316204e-05,
649
+ "loss": 1.5234,
650
+ "step": 515
651
+ },
652
+ {
653
+ "epoch": 3.25,
654
+ "learning_rate": 2.0092474810602867e-05,
655
+ "loss": 1.6652,
656
+ "step": 520
657
+ },
658
+ {
659
+ "epoch": 3.28,
660
+ "learning_rate": 2.5080620706373927e-05,
661
+ "loss": 1.6542,
662
+ "step": 525
663
+ },
664
+ {
665
+ "epoch": 3.31,
666
+ "learning_rate": 3.0487882014855275e-05,
667
+ "loss": 1.6505,
668
+ "step": 530
669
+ },
670
+ {
671
+ "epoch": 3.34,
672
+ "learning_rate": 3.626218385373653e-05,
673
+ "loss": 1.6654,
674
+ "step": 535
675
+ },
676
+ {
677
+ "epoch": 3.38,
678
+ "learning_rate": 4.234791653975479e-05,
679
+ "loss": 1.8283,
680
+ "step": 540
681
+ },
682
+ {
683
+ "epoch": 3.41,
684
+ "learning_rate": 4.868647114034381e-05,
685
+ "loss": 1.6716,
686
+ "step": 545
687
+ },
688
+ {
689
+ "epoch": 3.44,
690
+ "learning_rate": 5.5216803909693624e-05,
691
+ "loss": 1.7675,
692
+ "step": 550
693
+ },
694
+ {
695
+ "epoch": 3.47,
696
+ "learning_rate": 6.187602417339214e-05,
697
+ "loss": 1.6728,
698
+ "step": 555
699
+ },
700
+ {
701
+ "epoch": 3.5,
702
+ "learning_rate": 6.859999999999997e-05,
703
+ "loss": 1.6103,
704
+ "step": 560
705
+ },
706
+ {
707
+ "epoch": 3.53,
708
+ "learning_rate": 7.53239758266078e-05,
709
+ "loss": 1.6445,
710
+ "step": 565
711
+ },
712
+ {
713
+ "epoch": 3.56,
714
+ "learning_rate": 8.198319609030632e-05,
715
+ "loss": 1.6708,
716
+ "step": 570
717
+ },
718
+ {
719
+ "epoch": 3.59,
720
+ "learning_rate": 8.851352885965614e-05,
721
+ "loss": 1.7189,
722
+ "step": 575
723
+ },
724
+ {
725
+ "epoch": 3.62,
726
+ "learning_rate": 9.485208346024516e-05,
727
+ "loss": 1.7617,
728
+ "step": 580
729
+ },
730
+ {
731
+ "epoch": 3.66,
732
+ "learning_rate": 0.00010093781614626343,
733
+ "loss": 1.6343,
734
+ "step": 585
735
+ },
736
+ {
737
+ "epoch": 3.69,
738
+ "learning_rate": 0.00010671211798514468,
739
+ "loss": 1.7267,
740
+ "step": 590
741
+ },
742
+ {
743
+ "epoch": 3.72,
744
+ "learning_rate": 0.00011211937929362604,
745
+ "loss": 1.6865,
746
+ "step": 595
747
+ },
748
+ {
749
+ "epoch": 3.75,
750
+ "learning_rate": 0.0001171075251893971,
751
+ "loss": 1.6896,
752
+ "step": 600
753
+ },
754
+ {
755
+ "epoch": 3.78,
756
+ "learning_rate": 0.00012162851710068375,
757
+ "loss": 1.716,
758
+ "step": 605
759
+ },
760
+ {
761
+ "epoch": 3.81,
762
+ "learning_rate": 0.0001256388154039546,
763
+ "loss": 1.7558,
764
+ "step": 610
765
+ },
766
+ {
767
+ "epoch": 3.84,
768
+ "learning_rate": 0.00012909979873429713,
769
+ "loss": 1.749,
770
+ "step": 615
771
+ },
772
+ {
773
+ "epoch": 3.88,
774
+ "learning_rate": 0.00013197813593027427,
775
+ "loss": 1.8024,
776
+ "step": 620
777
+ },
778
+ {
779
+ "epoch": 3.91,
780
+ "learning_rate": 0.0001342461070312295,
781
+ "loss": 1.6423,
782
+ "step": 625
783
+ },
784
+ {
785
+ "epoch": 3.94,
786
+ "learning_rate": 0.0001358818702356616,
787
+ "loss": 1.713,
788
+ "step": 630
789
+ },
790
+ {
791
+ "epoch": 3.97,
792
+ "learning_rate": 0.0001368696722497127,
793
+ "loss": 1.7649,
794
+ "step": 635
795
+ },
796
+ {
797
+ "epoch": 4.0,
798
+ "learning_rate": 0.0001372,
799
+ "loss": 1.5134,
800
+ "step": 640
801
+ },
802
+ {
803
+ "epoch": 4.0,
804
+ "eval_loss": 1.7136940956115723,
805
+ "eval_runtime": 11.1178,
806
+ "eval_samples_per_second": 22.487,
807
+ "eval_steps_per_second": 2.878,
808
+ "step": 640
809
+ },
810
+ {
811
+ "epoch": 4.03,
812
+ "learning_rate": 0.0001368696722497127,
813
+ "loss": 1.6853,
814
+ "step": 645
815
+ },
816
+ {
817
+ "epoch": 4.06,
818
+ "learning_rate": 0.00013588187023566163,
819
+ "loss": 1.6863,
820
+ "step": 650
821
+ },
822
+ {
823
+ "epoch": 4.09,
824
+ "learning_rate": 0.00013424610703122953,
825
+ "loss": 1.7064,
826
+ "step": 655
827
+ },
828
+ {
829
+ "epoch": 4.12,
830
+ "learning_rate": 0.00013197813593027427,
831
+ "loss": 1.6835,
832
+ "step": 660
833
+ },
834
+ {
835
+ "epoch": 4.16,
836
+ "learning_rate": 0.0001290997987342972,
837
+ "loss": 1.571,
838
+ "step": 665
839
+ },
840
+ {
841
+ "epoch": 4.19,
842
+ "learning_rate": 0.00012563881540395464,
843
+ "loss": 1.5507,
844
+ "step": 670
845
+ },
846
+ {
847
+ "epoch": 4.22,
848
+ "learning_rate": 0.00012162851710068381,
849
+ "loss": 1.5875,
850
+ "step": 675
851
+ },
852
+ {
853
+ "epoch": 4.25,
854
+ "learning_rate": 0.00011710752518939714,
855
+ "loss": 1.705,
856
+ "step": 680
857
+ },
858
+ {
859
+ "epoch": 4.28,
860
+ "learning_rate": 0.00011211937929362608,
861
+ "loss": 1.6864,
862
+ "step": 685
863
+ },
864
+ {
865
+ "epoch": 4.31,
866
+ "learning_rate": 0.00010671211798514474,
867
+ "loss": 1.6228,
868
+ "step": 690
869
+ },
870
+ {
871
+ "epoch": 4.34,
872
+ "learning_rate": 0.00010093781614626347,
873
+ "loss": 1.6698,
874
+ "step": 695
875
+ },
876
+ {
877
+ "epoch": 4.38,
878
+ "learning_rate": 9.485208346024522e-05,
879
+ "loss": 1.4768,
880
+ "step": 700
881
+ },
882
+ {
883
+ "epoch": 4.41,
884
+ "learning_rate": 8.851352885965621e-05,
885
+ "loss": 1.636,
886
+ "step": 705
887
+ },
888
+ {
889
+ "epoch": 4.44,
890
+ "learning_rate": 8.198319609030639e-05,
891
+ "loss": 1.6327,
892
+ "step": 710
893
+ },
894
+ {
895
+ "epoch": 4.47,
896
+ "learning_rate": 7.532397582660788e-05,
897
+ "loss": 1.6404,
898
+ "step": 715
899
+ },
900
+ {
901
+ "epoch": 4.5,
902
+ "learning_rate": 6.860000000000003e-05,
903
+ "loss": 1.7279,
904
+ "step": 720
905
+ },
906
+ {
907
+ "epoch": 4.53,
908
+ "learning_rate": 6.18760241733922e-05,
909
+ "loss": 1.5857,
910
+ "step": 725
911
+ },
912
+ {
913
+ "epoch": 4.56,
914
+ "learning_rate": 5.5216803909693685e-05,
915
+ "loss": 1.5979,
916
+ "step": 730
917
+ },
918
+ {
919
+ "epoch": 4.59,
920
+ "learning_rate": 4.8686471140343875e-05,
921
+ "loss": 1.5906,
922
+ "step": 735
923
+ },
924
+ {
925
+ "epoch": 4.62,
926
+ "learning_rate": 4.234791653975485e-05,
927
+ "loss": 1.6215,
928
+ "step": 740
929
+ },
930
+ {
931
+ "epoch": 4.66,
932
+ "learning_rate": 3.626218385373659e-05,
933
+ "loss": 1.6579,
934
+ "step": 745
935
+ },
936
+ {
937
+ "epoch": 4.69,
938
+ "learning_rate": 3.0487882014855336e-05,
939
+ "loss": 1.6602,
940
+ "step": 750
941
+ },
942
+ {
943
+ "epoch": 4.72,
944
+ "learning_rate": 2.508062070637398e-05,
945
+ "loss": 1.6282,
946
+ "step": 755
947
+ },
948
+ {
949
+ "epoch": 4.75,
950
+ "learning_rate": 2.0092474810602914e-05,
951
+ "loss": 1.652,
952
+ "step": 760
953
+ },
954
+ {
955
+ "epoch": 4.78,
956
+ "learning_rate": 1.557148289931624e-05,
957
+ "loss": 1.5612,
958
+ "step": 765
959
+ },
960
+ {
961
+ "epoch": 4.81,
962
+ "learning_rate": 1.1561184596045413e-05,
963
+ "loss": 1.6313,
964
+ "step": 770
965
+ },
966
+ {
967
+ "epoch": 4.84,
968
+ "learning_rate": 8.100201265702867e-06,
969
+ "loss": 1.5685,
970
+ "step": 775
971
+ },
972
+ {
973
+ "epoch": 4.88,
974
+ "learning_rate": 5.221864069725753e-06,
975
+ "loss": 1.6143,
976
+ "step": 780
977
+ },
978
+ {
979
+ "epoch": 4.91,
980
+ "learning_rate": 2.9538929687704977e-06,
981
+ "loss": 1.5863,
982
+ "step": 785
983
+ },
984
+ {
985
+ "epoch": 4.94,
986
+ "learning_rate": 1.3181297643383925e-06,
987
+ "loss": 1.4505,
988
+ "step": 790
989
+ },
990
+ {
991
+ "epoch": 4.97,
992
+ "learning_rate": 3.303277502872983e-07,
993
+ "loss": 1.6715,
994
+ "step": 795
995
+ },
996
+ {
997
+ "epoch": 5.0,
998
+ "learning_rate": 0.0,
999
+ "loss": 1.5892,
1000
+ "step": 800
1001
+ },
1002
+ {
1003
+ "epoch": 5.0,
1004
+ "eval_loss": 1.6500141620635986,
1005
+ "eval_runtime": 11.0924,
1006
+ "eval_samples_per_second": 22.538,
1007
+ "eval_steps_per_second": 2.885,
1008
+ "step": 800
1009
+ },
1010
+ {
1011
+ "epoch": 5.03,
1012
+ "learning_rate": 3.303277502872907e-07,
1013
+ "loss": 1.4254,
1014
+ "step": 805
1015
+ },
1016
+ {
1017
+ "epoch": 5.06,
1018
+ "learning_rate": 1.3181297643383773e-06,
1019
+ "loss": 1.5428,
1020
+ "step": 810
1021
+ },
1022
+ {
1023
+ "epoch": 5.09,
1024
+ "learning_rate": 2.9538929687704367e-06,
1025
+ "loss": 1.5335,
1026
+ "step": 815
1027
+ },
1028
+ {
1029
+ "epoch": 5.12,
1030
+ "learning_rate": 5.221864069725677e-06,
1031
+ "loss": 1.5308,
1032
+ "step": 820
1033
+ },
1034
+ {
1035
+ "epoch": 5.16,
1036
+ "learning_rate": 8.100201265702767e-06,
1037
+ "loss": 1.5882,
1038
+ "step": 825
1039
+ },
1040
+ {
1041
+ "epoch": 5.19,
1042
+ "learning_rate": 1.1561184596045435e-05,
1043
+ "loss": 1.5799,
1044
+ "step": 830
1045
+ },
1046
+ {
1047
+ "epoch": 5.22,
1048
+ "learning_rate": 1.5571482899316272e-05,
1049
+ "loss": 1.5356,
1050
+ "step": 835
1051
+ },
1052
+ {
1053
+ "epoch": 5.25,
1054
+ "learning_rate": 2.0092474810602853e-05,
1055
+ "loss": 1.5285,
1056
+ "step": 840
1057
+ },
1058
+ {
1059
+ "epoch": 5.28,
1060
+ "learning_rate": 2.5080620706373914e-05,
1061
+ "loss": 1.5356,
1062
+ "step": 845
1063
+ },
1064
+ {
1065
+ "epoch": 5.31,
1066
+ "learning_rate": 3.048788201485526e-05,
1067
+ "loss": 1.5041,
1068
+ "step": 850
1069
+ },
1070
+ {
1071
+ "epoch": 5.34,
1072
+ "learning_rate": 3.6262183853736515e-05,
1073
+ "loss": 1.5689,
1074
+ "step": 855
1075
+ },
1076
+ {
1077
+ "epoch": 5.38,
1078
+ "learning_rate": 4.2347916539754777e-05,
1079
+ "loss": 1.4609,
1080
+ "step": 860
1081
+ },
1082
+ {
1083
+ "epoch": 5.41,
1084
+ "learning_rate": 4.868647114034379e-05,
1085
+ "loss": 1.6113,
1086
+ "step": 865
1087
+ },
1088
+ {
1089
+ "epoch": 5.44,
1090
+ "learning_rate": 5.521680390969348e-05,
1091
+ "loss": 1.6169,
1092
+ "step": 870
1093
+ },
1094
+ {
1095
+ "epoch": 5.47,
1096
+ "learning_rate": 6.1876024173392e-05,
1097
+ "loss": 1.6431,
1098
+ "step": 875
1099
+ },
1100
+ {
1101
+ "epoch": 5.5,
1102
+ "learning_rate": 6.859999999999984e-05,
1103
+ "loss": 1.5976,
1104
+ "step": 880
1105
+ },
1106
+ {
1107
+ "epoch": 5.53,
1108
+ "learning_rate": 7.532397582660791e-05,
1109
+ "loss": 1.5969,
1110
+ "step": 885
1111
+ },
1112
+ {
1113
+ "epoch": 5.56,
1114
+ "learning_rate": 8.198319609030643e-05,
1115
+ "loss": 1.5681,
1116
+ "step": 890
1117
+ },
1118
+ {
1119
+ "epoch": 5.59,
1120
+ "learning_rate": 8.851352885965613e-05,
1121
+ "loss": 1.6318,
1122
+ "step": 895
1123
+ },
1124
+ {
1125
+ "epoch": 5.62,
1126
+ "learning_rate": 9.485208346024515e-05,
1127
+ "loss": 1.5222,
1128
+ "step": 900
1129
+ },
1130
+ {
1131
+ "epoch": 5.66,
1132
+ "learning_rate": 0.00010093781614626339,
1133
+ "loss": 1.5517,
1134
+ "step": 905
1135
+ },
1136
+ {
1137
+ "epoch": 5.69,
1138
+ "learning_rate": 0.00010671211798514466,
1139
+ "loss": 1.5481,
1140
+ "step": 910
1141
+ },
1142
+ {
1143
+ "epoch": 5.72,
1144
+ "learning_rate": 0.00011211937929362601,
1145
+ "loss": 1.6196,
1146
+ "step": 915
1147
+ },
1148
+ {
1149
+ "epoch": 5.75,
1150
+ "learning_rate": 0.00011710752518939709,
1151
+ "loss": 1.488,
1152
+ "step": 920
1153
+ },
1154
+ {
1155
+ "epoch": 5.78,
1156
+ "learning_rate": 0.00012162851710068368,
1157
+ "loss": 1.6155,
1158
+ "step": 925
1159
+ },
1160
+ {
1161
+ "epoch": 5.81,
1162
+ "learning_rate": 0.00012563881540395453,
1163
+ "loss": 1.628,
1164
+ "step": 930
1165
+ },
1166
+ {
1167
+ "epoch": 5.84,
1168
+ "learning_rate": 0.0001290997987342972,
1169
+ "loss": 1.6143,
1170
+ "step": 935
1171
+ },
1172
+ {
1173
+ "epoch": 5.88,
1174
+ "learning_rate": 0.0001319781359302743,
1175
+ "loss": 1.6028,
1176
+ "step": 940
1177
+ },
1178
+ {
1179
+ "epoch": 5.91,
1180
+ "learning_rate": 0.00013424610703122953,
1181
+ "loss": 1.4802,
1182
+ "step": 945
1183
+ },
1184
+ {
1185
+ "epoch": 5.94,
1186
+ "learning_rate": 0.0001358818702356616,
1187
+ "loss": 1.6464,
1188
+ "step": 950
1189
+ },
1190
+ {
1191
+ "epoch": 5.97,
1192
+ "learning_rate": 0.0001368696722497127,
1193
+ "loss": 1.6216,
1194
+ "step": 955
1195
+ },
1196
+ {
1197
+ "epoch": 6.0,
1198
+ "learning_rate": 0.0001372,
1199
+ "loss": 1.5782,
1200
+ "step": 960
1201
+ },
1202
+ {
1203
+ "epoch": 6.0,
1204
+ "eval_loss": 1.6669092178344727,
1205
+ "eval_runtime": 11.103,
1206
+ "eval_samples_per_second": 22.517,
1207
+ "eval_steps_per_second": 2.882,
1208
+ "step": 960
1209
+ },
1210
+ {
1211
+ "epoch": 6.03,
1212
+ "learning_rate": 0.00013686967224971273,
1213
+ "loss": 1.4996,
1214
+ "step": 965
1215
+ },
1216
+ {
1217
+ "epoch": 6.06,
1218
+ "learning_rate": 0.00013588187023566163,
1219
+ "loss": 1.5676,
1220
+ "step": 970
1221
+ },
1222
+ {
1223
+ "epoch": 6.09,
1224
+ "learning_rate": 0.00013424610703122958,
1225
+ "loss": 1.4658,
1226
+ "step": 975
1227
+ },
1228
+ {
1229
+ "epoch": 6.12,
1230
+ "learning_rate": 0.00013197813593027432,
1231
+ "loss": 1.4962,
1232
+ "step": 980
1233
+ },
1234
+ {
1235
+ "epoch": 6.16,
1236
+ "learning_rate": 0.00012909979873429724,
1237
+ "loss": 1.5933,
1238
+ "step": 985
1239
+ },
1240
+ {
1241
+ "epoch": 6.19,
1242
+ "learning_rate": 0.00012563881540395458,
1243
+ "loss": 1.4505,
1244
+ "step": 990
1245
+ },
1246
+ {
1247
+ "epoch": 6.22,
1248
+ "learning_rate": 0.00012162851710068373,
1249
+ "loss": 1.5865,
1250
+ "step": 995
1251
+ },
1252
+ {
1253
+ "epoch": 6.25,
1254
+ "learning_rate": 0.00011710752518939715,
1255
+ "loss": 1.665,
1256
+ "step": 1000
1257
+ },
1258
+ {
1259
+ "epoch": 6.28,
1260
+ "learning_rate": 0.00011211937929362609,
1261
+ "loss": 1.556,
1262
+ "step": 1005
1263
+ },
1264
+ {
1265
+ "epoch": 6.31,
1266
+ "learning_rate": 0.00010671211798514474,
1267
+ "loss": 1.5632,
1268
+ "step": 1010
1269
+ },
1270
+ {
1271
+ "epoch": 6.34,
1272
+ "learning_rate": 0.00010093781614626349,
1273
+ "loss": 1.5849,
1274
+ "step": 1015
1275
+ },
1276
+ {
1277
+ "epoch": 6.38,
1278
+ "learning_rate": 9.485208346024524e-05,
1279
+ "loss": 1.5667,
1280
+ "step": 1020
1281
+ },
1282
+ {
1283
+ "epoch": 6.41,
1284
+ "learning_rate": 8.851352885965622e-05,
1285
+ "loss": 1.4537,
1286
+ "step": 1025
1287
+ },
1288
+ {
1289
+ "epoch": 6.44,
1290
+ "learning_rate": 8.198319609030653e-05,
1291
+ "loss": 1.4866,
1292
+ "step": 1030
1293
+ },
1294
+ {
1295
+ "epoch": 6.47,
1296
+ "learning_rate": 7.532397582660802e-05,
1297
+ "loss": 1.4058,
1298
+ "step": 1035
1299
+ },
1300
+ {
1301
+ "epoch": 6.5,
1302
+ "learning_rate": 6.859999999999993e-05,
1303
+ "loss": 1.4442,
1304
+ "step": 1040
1305
+ },
1306
+ {
1307
+ "epoch": 6.53,
1308
+ "learning_rate": 6.18760241733921e-05,
1309
+ "loss": 1.4465,
1310
+ "step": 1045
1311
+ },
1312
+ {
1313
+ "epoch": 6.56,
1314
+ "learning_rate": 5.5216803909693576e-05,
1315
+ "loss": 1.5129,
1316
+ "step": 1050
1317
+ },
1318
+ {
1319
+ "epoch": 6.59,
1320
+ "learning_rate": 4.868647114034389e-05,
1321
+ "loss": 1.4484,
1322
+ "step": 1055
1323
+ },
1324
+ {
1325
+ "epoch": 6.62,
1326
+ "learning_rate": 4.2347916539754865e-05,
1327
+ "loss": 1.6054,
1328
+ "step": 1060
1329
+ },
1330
+ {
1331
+ "epoch": 6.66,
1332
+ "learning_rate": 3.62621838537366e-05,
1333
+ "loss": 1.6134,
1334
+ "step": 1065
1335
+ },
1336
+ {
1337
+ "epoch": 6.69,
1338
+ "learning_rate": 3.0487882014855342e-05,
1339
+ "loss": 1.4736,
1340
+ "step": 1070
1341
+ },
1342
+ {
1343
+ "epoch": 6.72,
1344
+ "learning_rate": 2.5080620706373995e-05,
1345
+ "loss": 1.5124,
1346
+ "step": 1075
1347
+ },
1348
+ {
1349
+ "epoch": 6.75,
1350
+ "learning_rate": 2.009247481060292e-05,
1351
+ "loss": 1.528,
1352
+ "step": 1080
1353
+ },
1354
+ {
1355
+ "epoch": 6.78,
1356
+ "learning_rate": 1.5571482899316333e-05,
1357
+ "loss": 1.602,
1358
+ "step": 1085
1359
+ },
1360
+ {
1361
+ "epoch": 6.81,
1362
+ "learning_rate": 1.1561184596045489e-05,
1363
+ "loss": 1.5229,
1364
+ "step": 1090
1365
+ },
1366
+ {
1367
+ "epoch": 6.84,
1368
+ "learning_rate": 8.100201265702821e-06,
1369
+ "loss": 1.5871,
1370
+ "step": 1095
1371
+ },
1372
+ {
1373
+ "epoch": 6.88,
1374
+ "learning_rate": 5.221864069725715e-06,
1375
+ "loss": 1.5468,
1376
+ "step": 1100
1377
+ },
1378
+ {
1379
+ "epoch": 6.91,
1380
+ "learning_rate": 2.9538929687704672e-06,
1381
+ "loss": 1.4325,
1382
+ "step": 1105
1383
+ },
1384
+ {
1385
+ "epoch": 6.94,
1386
+ "learning_rate": 1.3181297643383925e-06,
1387
+ "loss": 1.5777,
1388
+ "step": 1110
1389
+ },
1390
+ {
1391
+ "epoch": 6.97,
1392
+ "learning_rate": 3.303277502872983e-07,
1393
+ "loss": 1.5088,
1394
+ "step": 1115
1395
+ },
1396
+ {
1397
+ "epoch": 7.0,
1398
+ "learning_rate": 0.0,
1399
+ "loss": 1.4601,
1400
+ "step": 1120
1401
+ },
1402
+ {
1403
+ "epoch": 7.0,
1404
+ "eval_loss": 1.6244831085205078,
1405
+ "eval_runtime": 11.094,
1406
+ "eval_samples_per_second": 22.535,
1407
+ "eval_steps_per_second": 2.884,
1408
+ "step": 1120
1409
+ },
1410
+ {
1411
+ "epoch": 7.03,
1412
+ "learning_rate": 3.303277502872831e-07,
1413
+ "loss": 1.487,
1414
+ "step": 1125
1415
+ },
1416
+ {
1417
+ "epoch": 7.06,
1418
+ "learning_rate": 1.3181297643383697e-06,
1419
+ "loss": 1.4971,
1420
+ "step": 1130
1421
+ },
1422
+ {
1423
+ "epoch": 7.09,
1424
+ "learning_rate": 2.9538929687704367e-06,
1425
+ "loss": 1.4361,
1426
+ "step": 1135
1427
+ },
1428
+ {
1429
+ "epoch": 7.12,
1430
+ "learning_rate": 5.221864069725669e-06,
1431
+ "loss": 1.4751,
1432
+ "step": 1140
1433
+ },
1434
+ {
1435
+ "epoch": 7.16,
1436
+ "learning_rate": 8.10020126570276e-06,
1437
+ "loss": 1.3822,
1438
+ "step": 1145
1439
+ },
1440
+ {
1441
+ "epoch": 7.19,
1442
+ "learning_rate": 1.156118459604542e-05,
1443
+ "loss": 1.4882,
1444
+ "step": 1150
1445
+ },
1446
+ {
1447
+ "epoch": 7.22,
1448
+ "learning_rate": 1.5571482899316258e-05,
1449
+ "loss": 1.4465,
1450
+ "step": 1155
1451
+ },
1452
+ {
1453
+ "epoch": 7.25,
1454
+ "learning_rate": 2.0092474810602836e-05,
1455
+ "loss": 1.3924,
1456
+ "step": 1160
1457
+ },
1458
+ {
1459
+ "epoch": 7.28,
1460
+ "learning_rate": 2.5080620706373904e-05,
1461
+ "loss": 1.4828,
1462
+ "step": 1165
1463
+ },
1464
+ {
1465
+ "epoch": 7.31,
1466
+ "learning_rate": 3.0487882014855254e-05,
1467
+ "loss": 1.4428,
1468
+ "step": 1170
1469
+ },
1470
+ {
1471
+ "epoch": 7.34,
1472
+ "learning_rate": 3.6262183853736495e-05,
1473
+ "loss": 1.6162,
1474
+ "step": 1175
1475
+ },
1476
+ {
1477
+ "epoch": 7.38,
1478
+ "learning_rate": 4.234791653975476e-05,
1479
+ "loss": 1.368,
1480
+ "step": 1180
1481
+ },
1482
+ {
1483
+ "epoch": 7.41,
1484
+ "learning_rate": 4.868647114034377e-05,
1485
+ "loss": 1.4922,
1486
+ "step": 1185
1487
+ },
1488
+ {
1489
+ "epoch": 7.44,
1490
+ "learning_rate": 5.521680390969347e-05,
1491
+ "loss": 1.4195,
1492
+ "step": 1190
1493
+ },
1494
+ {
1495
+ "epoch": 7.47,
1496
+ "learning_rate": 6.187602417339198e-05,
1497
+ "loss": 1.4896,
1498
+ "step": 1195
1499
+ },
1500
+ {
1501
+ "epoch": 7.5,
1502
+ "learning_rate": 6.859999999999982e-05,
1503
+ "loss": 1.4594,
1504
+ "step": 1200
1505
+ },
1506
+ {
1507
+ "epoch": 7.53,
1508
+ "learning_rate": 7.53239758266079e-05,
1509
+ "loss": 1.4228,
1510
+ "step": 1205
1511
+ },
1512
+ {
1513
+ "epoch": 7.56,
1514
+ "learning_rate": 8.19831960903064e-05,
1515
+ "loss": 1.4571,
1516
+ "step": 1210
1517
+ },
1518
+ {
1519
+ "epoch": 7.59,
1520
+ "learning_rate": 8.851352885965611e-05,
1521
+ "loss": 1.4634,
1522
+ "step": 1215
1523
+ },
1524
+ {
1525
+ "epoch": 7.62,
1526
+ "learning_rate": 9.485208346024514e-05,
1527
+ "loss": 1.5054,
1528
+ "step": 1220
1529
+ },
1530
+ {
1531
+ "epoch": 7.66,
1532
+ "learning_rate": 0.00010093781614626339,
1533
+ "loss": 1.4162,
1534
+ "step": 1225
1535
+ },
1536
+ {
1537
+ "epoch": 7.69,
1538
+ "learning_rate": 0.00010671211798514465,
1539
+ "loss": 1.5479,
1540
+ "step": 1230
1541
+ },
1542
+ {
1543
+ "epoch": 7.72,
1544
+ "learning_rate": 0.00011211937929362601,
1545
+ "loss": 1.4107,
1546
+ "step": 1235
1547
+ },
1548
+ {
1549
+ "epoch": 7.75,
1550
+ "learning_rate": 0.00011710752518939706,
1551
+ "loss": 1.4738,
1552
+ "step": 1240
1553
+ },
1554
+ {
1555
+ "epoch": 7.78,
1556
+ "learning_rate": 0.00012162851710068366,
1557
+ "loss": 1.4738,
1558
+ "step": 1245
1559
+ },
1560
+ {
1561
+ "epoch": 7.81,
1562
+ "learning_rate": 0.0001256388154039545,
1563
+ "loss": 1.497,
1564
+ "step": 1250
1565
+ },
1566
+ {
1567
+ "epoch": 7.84,
1568
+ "learning_rate": 0.0001290997987342972,
1569
+ "loss": 1.5329,
1570
+ "step": 1255
1571
+ },
1572
+ {
1573
+ "epoch": 7.88,
1574
+ "learning_rate": 0.0001319781359302743,
1575
+ "loss": 1.4608,
1576
+ "step": 1260
1577
+ },
1578
+ {
1579
+ "epoch": 7.91,
1580
+ "learning_rate": 0.00013424610703122953,
1581
+ "loss": 1.5795,
1582
+ "step": 1265
1583
+ },
1584
+ {
1585
+ "epoch": 7.94,
1586
+ "learning_rate": 0.0001358818702356616,
1587
+ "loss": 1.5419,
1588
+ "step": 1270
1589
+ },
1590
+ {
1591
+ "epoch": 7.97,
1592
+ "learning_rate": 0.0001368696722497127,
1593
+ "loss": 1.4443,
1594
+ "step": 1275
1595
+ },
1596
+ {
1597
+ "epoch": 8.0,
1598
+ "learning_rate": 0.0001372,
1599
+ "loss": 1.4799,
1600
+ "step": 1280
1601
+ },
1602
+ {
1603
+ "epoch": 8.0,
1604
+ "eval_loss": 1.6402026414871216,
1605
+ "eval_runtime": 11.1984,
1606
+ "eval_samples_per_second": 22.325,
1607
+ "eval_steps_per_second": 2.858,
1608
+ "step": 1280
1609
+ },
1610
+ {
1611
+ "epoch": 8.03,
1612
+ "learning_rate": 0.00013686967224971273,
1613
+ "loss": 1.4584,
1614
+ "step": 1285
1615
+ },
1616
+ {
1617
+ "epoch": 8.06,
1618
+ "learning_rate": 0.00013588187023566163,
1619
+ "loss": 1.4089,
1620
+ "step": 1290
1621
+ },
1622
+ {
1623
+ "epoch": 8.09,
1624
+ "learning_rate": 0.00013424610703122958,
1625
+ "loss": 1.55,
1626
+ "step": 1295
1627
+ },
1628
+ {
1629
+ "epoch": 8.12,
1630
+ "learning_rate": 0.00013197813593027432,
1631
+ "loss": 1.4449,
1632
+ "step": 1300
1633
+ },
1634
+ {
1635
+ "epoch": 8.16,
1636
+ "learning_rate": 0.00012909979873429724,
1637
+ "loss": 1.367,
1638
+ "step": 1305
1639
+ },
1640
+ {
1641
+ "epoch": 8.19,
1642
+ "learning_rate": 0.00012563881540395458,
1643
+ "loss": 1.5241,
1644
+ "step": 1310
1645
+ },
1646
+ {
1647
+ "epoch": 8.22,
1648
+ "learning_rate": 0.00012162851710068375,
1649
+ "loss": 1.5117,
1650
+ "step": 1315
1651
+ },
1652
+ {
1653
+ "epoch": 8.25,
1654
+ "learning_rate": 0.00011710752518939715,
1655
+ "loss": 1.4418,
1656
+ "step": 1320
1657
+ },
1658
+ {
1659
+ "epoch": 8.28,
1660
+ "learning_rate": 0.00011211937929362609,
1661
+ "loss": 1.5439,
1662
+ "step": 1325
1663
+ },
1664
+ {
1665
+ "epoch": 8.31,
1666
+ "learning_rate": 0.00010671211798514476,
1667
+ "loss": 1.3722,
1668
+ "step": 1330
1669
+ },
1670
+ {
1671
+ "epoch": 8.34,
1672
+ "learning_rate": 0.0001009378161462635,
1673
+ "loss": 1.4284,
1674
+ "step": 1335
1675
+ },
1676
+ {
1677
+ "epoch": 8.38,
1678
+ "learning_rate": 9.485208346024526e-05,
1679
+ "loss": 1.516,
1680
+ "step": 1340
1681
+ },
1682
+ {
1683
+ "epoch": 8.41,
1684
+ "learning_rate": 8.851352885965623e-05,
1685
+ "loss": 1.3386,
1686
+ "step": 1345
1687
+ },
1688
+ {
1689
+ "epoch": 8.44,
1690
+ "learning_rate": 8.198319609030655e-05,
1691
+ "loss": 1.4559,
1692
+ "step": 1350
1693
+ },
1694
+ {
1695
+ "epoch": 8.47,
1696
+ "learning_rate": 7.532397582660803e-05,
1697
+ "loss": 1.6084,
1698
+ "step": 1355
1699
+ },
1700
+ {
1701
+ "epoch": 8.5,
1702
+ "learning_rate": 6.859999999999995e-05,
1703
+ "loss": 1.4138,
1704
+ "step": 1360
1705
+ },
1706
+ {
1707
+ "epoch": 8.53,
1708
+ "learning_rate": 6.187602417339212e-05,
1709
+ "loss": 1.3939,
1710
+ "step": 1365
1711
+ },
1712
+ {
1713
+ "epoch": 8.56,
1714
+ "learning_rate": 5.5216803909693596e-05,
1715
+ "loss": 1.4058,
1716
+ "step": 1370
1717
+ },
1718
+ {
1719
+ "epoch": 8.59,
1720
+ "learning_rate": 4.86864711403439e-05,
1721
+ "loss": 1.4439,
1722
+ "step": 1375
1723
+ },
1724
+ {
1725
+ "epoch": 8.62,
1726
+ "learning_rate": 4.2347916539754885e-05,
1727
+ "loss": 1.345,
1728
+ "step": 1380
1729
+ },
1730
+ {
1731
+ "epoch": 8.66,
1732
+ "learning_rate": 3.626218385373662e-05,
1733
+ "loss": 1.4172,
1734
+ "step": 1385
1735
+ },
1736
+ {
1737
+ "epoch": 8.69,
1738
+ "learning_rate": 3.048788201485536e-05,
1739
+ "loss": 1.4024,
1740
+ "step": 1390
1741
+ },
1742
+ {
1743
+ "epoch": 8.72,
1744
+ "learning_rate": 2.5080620706374002e-05,
1745
+ "loss": 1.4443,
1746
+ "step": 1395
1747
+ },
1748
+ {
1749
+ "epoch": 8.75,
1750
+ "learning_rate": 2.0092474810602934e-05,
1751
+ "loss": 1.4758,
1752
+ "step": 1400
1753
+ },
1754
+ {
1755
+ "epoch": 8.78,
1756
+ "learning_rate": 1.5571482899316343e-05,
1757
+ "loss": 1.4565,
1758
+ "step": 1405
1759
+ },
1760
+ {
1761
+ "epoch": 8.81,
1762
+ "learning_rate": 1.1561184596045496e-05,
1763
+ "loss": 1.3571,
1764
+ "step": 1410
1765
+ },
1766
+ {
1767
+ "epoch": 8.84,
1768
+ "learning_rate": 8.100201265702828e-06,
1769
+ "loss": 1.478,
1770
+ "step": 1415
1771
+ },
1772
+ {
1773
+ "epoch": 8.88,
1774
+ "learning_rate": 5.2218640697257225e-06,
1775
+ "loss": 1.452,
1776
+ "step": 1420
1777
+ },
1778
+ {
1779
+ "epoch": 8.91,
1780
+ "learning_rate": 2.953892968770475e-06,
1781
+ "loss": 1.3222,
1782
+ "step": 1425
1783
+ },
1784
+ {
1785
+ "epoch": 8.94,
1786
+ "learning_rate": 1.3181297643384001e-06,
1787
+ "loss": 1.426,
1788
+ "step": 1430
1789
+ },
1790
+ {
1791
+ "epoch": 8.97,
1792
+ "learning_rate": 3.303277502872983e-07,
1793
+ "loss": 1.4787,
1794
+ "step": 1435
1795
+ },
1796
+ {
1797
+ "epoch": 9.0,
1798
+ "learning_rate": 0.0,
1799
+ "loss": 1.353,
1800
+ "step": 1440
1801
+ },
1802
+ {
1803
+ "epoch": 9.0,
1804
+ "eval_loss": 1.6076909303665161,
1805
+ "eval_runtime": 11.1829,
1806
+ "eval_samples_per_second": 22.355,
1807
+ "eval_steps_per_second": 2.862,
1808
+ "step": 1440
1809
+ }
1810
+ ],
1811
+ "max_steps": 1600,
1812
+ "num_train_epochs": 10,
1813
+ "total_flos": 1505042104320000.0,
1814
+ "trial_name": null,
1815
+ "trial_params": null
1816
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d9e8519120986eb1d1f30afb0305057db89e930c94baca8b50a3f1a1d7fbf77
3
+ size 2671
vocab.json ADDED
The diff for this file is too large to render. See raw diff