AmberYifan commited on
Commit
672fe6a
1 Parent(s): 97b30f5

End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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  tags:
 
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  - trl
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  - dpo
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: Mistral-7B-Instruct-v0.2-DPO
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # Mistral-7B-Instruct-v0.2-DPO
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- This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5782
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- - Rewards/chosen: -0.2135
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- - Rewards/rejected: -0.7018
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- - Rewards/accuracies: 0.6920
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- - Rewards/margins: 0.4884
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- - Logps/rejected: -296.4236
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- - Logps/chosen: -255.7232
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- - Logits/rejected: -2.4987
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- - Logits/chosen: -2.5475
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  ## Model description
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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  tags:
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+ - alignment-handbook
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  - trl
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  - dpo
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  - generated_from_trainer
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ datasets:
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+ - Dahoas/full-hh-rlhf
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  model-index:
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  - name: Mistral-7B-Instruct-v0.2-DPO
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  results: []
 
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  # Mistral-7B-Instruct-v0.2-DPO
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the Dahoas/full-hh-rlhf dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5782
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+ - Rewards/chosen: -0.2120
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+ - Rewards/rejected: -0.7002
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+ - Rewards/accuracies: 0.6926
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+ - Rewards/margins: 0.4883
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+ - Logps/rejected: -296.2612
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+ - Logps/chosen: -255.5737
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+ - Logits/rejected: -2.4985
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+ - Logits/chosen: -2.5472
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 1.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.5964619764459262,
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  "train_runtime": 39064.845,
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  "train_samples": 112052,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -2.5471837520599365,
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+ "eval_logits/rejected": -2.4984941482543945,
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+ "eval_logps/chosen": -255.5736846923828,
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+ "eval_logps/rejected": -296.26116943359375,
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+ "eval_loss": 0.5782328248023987,
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+ "eval_rewards/accuracies": 0.6926282048225403,
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+ "eval_rewards/chosen": -0.21196967363357544,
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+ "eval_rewards/margins": 0.4882549047470093,
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+ "eval_rewards/rejected": -0.7002245783805847,
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+ "eval_runtime": 862.1588,
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+ "eval_samples": 12451,
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+ "eval_samples_per_second": 14.442,
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+ "eval_steps_per_second": 0.452,
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  "train_loss": 0.5964619764459262,
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  "train_runtime": 39064.845,
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  "train_samples": 112052,
config.json CHANGED
@@ -21,6 +21,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.39.0.dev0",
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- "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.39.0.dev0",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": -2.5471837520599365,
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+ "eval_logits/rejected": -2.4984941482543945,
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+ "eval_logps/chosen": -255.5736846923828,
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+ "eval_logps/rejected": -296.26116943359375,
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+ "eval_loss": 0.5782328248023987,
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+ "eval_rewards/accuracies": 0.6926282048225403,
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+ "eval_rewards/chosen": -0.21196967363357544,
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+ "eval_rewards/margins": 0.4882549047470093,
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+ "eval_rewards/rejected": -0.7002245783805847,
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+ "eval_runtime": 862.1588,
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+ "eval_samples": 12451,
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+ "eval_samples_per_second": 14.442,
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+ "eval_steps_per_second": 0.452
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+ }
runs/Apr29_16-59-51_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1714465224.gilbreth-j001.rcac.purdue.edu.209964.1 ADDED
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