tydymy/human_dna_filter

README.md

@@ -0,0 +1,64 @@
+---
+license: cc-by-nc-sa-4.0
+base_model: InstaDeepAI/nucleotide-transformer-500m-human-ref
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: human_classification
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# human_classification
+
+This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-500m-human-ref](https://huggingface.co/InstaDeepAI/nucleotide-transformer-500m-human-ref) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1830
+- Accuracy: 0.9589
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0924        | 1.0   | 615  | 0.1074          | 0.9572   |
+| 0.0587        | 2.0   | 1230 | 0.1217          | 0.9569   |
+| 0.0137        | 3.0   | 1845 | 0.1830          | 0.9589   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "InstaDeepAI/nucleotide-transformer-500m-human-ref",
+  "architectures": [
+    "EsmForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "emb_layer_norm_before": false,
+  "esmfold_config": null,
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "is_folding_model": false,
+  "layer_norm_eps": 1e-12,
+  "mask_token_id": 2,
+  "max_position_embeddings": 1002,
+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": false,
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "use_cache": false,
+  "vocab_list": null,
+  "vocab_size": 4107
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61360a3525f7f8c904d4d8fd55d72f06ea52adc168cb04f70353615f336a4b01
+size 1921907125

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:663d6fb511091696a7339f1fa8e360fb1bf0c2286483a994cd98108c2a1766b6
+size 4027