HoussemSaafi
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Upload TFEsmForSequenceClassification
Browse files- README.md +48 -0
- config.json +30 -0
- tf_model.h5 +3 -0
README.md
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---
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license: mit
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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-ARG-classification
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results: []
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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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# esm2_t12_35M_UR50D-finetuned-ARG-classification
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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### Framework versions
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- Transformers 4.25.1
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- TensorFlow 2.9.2
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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config.json
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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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"initializer_range": 0.02,
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"intermediate_size": 1920,
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"is_folding_model": false,
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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": "4.25.1",
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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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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:a194d0cbc7dac89a1afc3dc85d71413a1275b0f4aa0cc17e58b8b4ff9d7dfd23
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size 134306840
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