End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/esm2_t33_650M_UR50D
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: esm2_t33_650M_UR50D-finetuned
+  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. -->
+
+# esm2_t33_650M_UR50D-finetuned
+
+This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4409
+- Tp: 539
+- Tn: 617
+- Fp: 47
+- Fn: 93
+- Accuracy: 0.8920
+- Precision: 0.9198
+- Recall: 0.8528
+- F1-score: 0.8851
+- Auc: 0.8910
+- Mcc: 0.7854
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- 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 | Tp  | Tn  | Fp | Fn  | Accuracy | Precision | Recall | F1-score | Auc    | Mcc    |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|:--:|:---:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
+| 0.393         | 1.0   | 1296 | 0.3616          | 507 | 615 | 49 | 125 | 0.8657   | 0.9119    | 0.8022 | 0.8535   | 0.8642 | 0.7356 |
+| 0.3052        | 2.0   | 2592 | 0.3159          | 536 | 608 | 56 | 96  | 0.8827   | 0.9054    | 0.8481 | 0.8758   | 0.8819 | 0.7664 |
+| 0.166         | 3.0   | 3888 | 0.4409          | 539 | 617 | 47 | 93  | 0.8920   | 0.9198    | 0.8528 | 0.8851   | 0.8910 | 0.7854 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 1.13.1+cu117
+- Datasets 3.0.1
+- Tokenizers 0.20.1

config.json

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+{
+  "_name_or_path": "facebook/esm2_t33_650M_UR50D",
+  "architectures": [
+    "EsmForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout": null,
+  "emb_layer_norm_before": false,
+  "esmfold_config": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "is_folding_model": false,
+  "layer_norm_eps": 1e-05,
+  "mask_token_id": 32,
+  "max_position_embeddings": 1026,
+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 33,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "problem_type": "single_label_classification",
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5a62c7abb3fde932a7315ae438b914a51433de8f3ed4961ce84f176854b1d138
+size 2609497900

special_tokens_map.json

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+{
+  "cls_token": "<cls>",
+  "eos_token": "<eos>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<cls>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<eos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32": {
+      "content": "<mask>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<cls>",
+  "eos_token": "<eos>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "EsmTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:77fea49d0c80707613a357ac1642d71e4a6e8257168544ad98568398315746a6
+size 4795

vocab.txt

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+<cls>
+<pad>
+<eos>
+<unk>
+L
+A
+G
+V
+S
+E
+R
+T
+I
+D
+P
+K
+Q
+N
+F
+Y
+M
+H
+W
+C
+X
+B
+U
+Z
+O
+.
+-
+<null_1>
+<mask>