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Upload TFEsmForSequenceClassification

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  1. README.md +60 -0
  2. config.json +38 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/esm2_t12_35M_UR50D
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification_CombinedPos5Epoch
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification_CombinedPos5Epoch
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+
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+ This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2090
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+ - Train Accuracy: 0.9111
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+ - Validation Loss: 0.5719
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+ - Validation Accuracy: 0.7842
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+ - Epoch: 4
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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+ |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.6535 | 0.6007 | 0.6349 | 0.6217 | 0 |
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+ | 0.5923 | 0.6721 | 0.5965 | 0.6733 | 1 |
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+ | 0.4529 | 0.7850 | 0.5529 | 0.7241 | 2 |
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+ | 0.2886 | 0.8738 | 0.5695 | 0.7650 | 3 |
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+ | 0.2090 | 0.9111 | 0.5719 | 0.7842 | 4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - TensorFlow 2.15.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/esm2_t12_35M_UR50D",
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+ "architectures": [
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+ "EsmForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "classifier_dropout": null,
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+ "emb_layer_norm_before": false,
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+ "esmfold_config": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 480,
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+ "id2label": {
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+ "0": "negative",
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+ "1": "positive"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1920,
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+ "is_folding_model": false,
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+ "label2id": {
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+ "negative": 0,
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+ "positive": 1
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "mask_token_id": 32,
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+ "max_position_embeddings": 1026,
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+ "model_type": "esm",
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+ "num_attention_heads": 20,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "rotary",
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+ "token_dropout": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.1",
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+ "use_cache": true,
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+ "vocab_list": null,
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+ "vocab_size": 33
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+ }
tf_model.h5 ADDED
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