End of training

README.md

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+---
+base_model: AIRI-Institute/gena-lm-bigbird-base-t2t
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: gena-lm-bigbird-base-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC
+  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. -->
+
+# gena-lm-bigbird-base-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC
+
+This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4425
+- F1 Score: 0.8721
+- Precision: 0.8249
+- Recall: 0.9251
+- Accuracy: 0.8582
+- Auc: 0.9367
+- Prc: 0.9328
+
+## 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: 1e-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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc    | Prc    |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
+| 0.5218        | 0.0840 | 500  | 0.4577          | 0.7891   | 0.8196    | 0.7608 | 0.7874   | 0.8723 | 0.8607 |
+| 0.4698        | 0.1680 | 1000 | 0.4514          | 0.8273   | 0.7836    | 0.8762 | 0.8087   | 0.8879 | 0.8785 |
+| 0.448         | 0.2521 | 1500 | 0.4550          | 0.8350   | 0.8002    | 0.8730 | 0.8197   | 0.8978 | 0.8886 |
+| 0.4463        | 0.3361 | 2000 | 0.4247          | 0.8392   | 0.7616    | 0.9344 | 0.8128   | 0.9076 | 0.9047 |
+| 0.4264        | 0.4201 | 2500 | 0.4020          | 0.8010   | 0.8781    | 0.7364 | 0.8087   | 0.9130 | 0.9101 |
+| 0.401         | 0.5041 | 3000 | 0.3818          | 0.8560   | 0.7897    | 0.9344 | 0.8356   | 0.9223 | 0.9200 |
+| 0.4035        | 0.5881 | 3500 | 0.3980          | 0.8590   | 0.7956    | 0.9335 | 0.8398   | 0.9232 | 0.9183 |
+| 0.3774        | 0.6722 | 4000 | 0.3752          | 0.8543   | 0.8404    | 0.8685 | 0.8450   | 0.9259 | 0.9245 |
+| 0.3985        | 0.7562 | 4500 | 0.4618          | 0.8360   | 0.8660    | 0.8081 | 0.8343   | 0.9243 | 0.9251 |
+| 0.387         | 0.8402 | 5000 | 0.3753          | 0.8641   | 0.8377    | 0.8923 | 0.8533   | 0.9310 | 0.9299 |
+| 0.3907        | 0.9242 | 5500 | 0.3589          | 0.8537   | 0.8528    | 0.8547 | 0.8469   | 0.9284 | 0.9284 |
+| 0.3775        | 1.0082 | 6000 | 0.4544          | 0.8622   | 0.8517    | 0.8730 | 0.8541   | 0.9310 | 0.9296 |
+| 0.3507        | 1.0923 | 6500 | 0.4114          | 0.8722   | 0.8177    | 0.9344 | 0.8568   | 0.9326 | 0.9246 |
+| 0.3476        | 1.1763 | 7000 | 0.4028          | 0.8747   | 0.8442    | 0.9074 | 0.8640   | 0.9354 | 0.9348 |
+| 0.3676        | 1.2603 | 7500 | 0.3671          | 0.8684   | 0.8487    | 0.8891 | 0.8592   | 0.9362 | 0.9358 |
+| 0.3651        | 1.3443 | 8000 | 0.3837          | 0.8713   | 0.8418    | 0.9029 | 0.8605   | 0.9369 | 0.9364 |
+| 0.3468        | 1.4283 | 8500 | 0.4281          | 0.8648   | 0.8491    | 0.8811 | 0.8560   | 0.9342 | 0.9309 |
+| 0.3447        | 1.5124 | 9000 | 0.3955          | 0.8727   | 0.8171    | 0.9364 | 0.8571   | 0.9387 | 0.9380 |
+| 0.35          | 1.5964 | 9500 | 0.4425          | 0.8721   | 0.8249    | 0.9251 | 0.8582   | 0.9367 | 0.9328 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.0

config.json

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+{
+  "_name_or_path": "AIRI-Institute/gena-lm-bigbird-base-t2t",
+  "architectures": [
+    "BigBirdForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "attention_type": "block_sparse",
+  "block_size": 64,
+  "bos_token_id": 1,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 4096,
+  "model_type": "big_bird",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_random_blocks": 3,
+  "pad_token_id": 3,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "rescale_embeddings": false,
+  "sep_token_id": 66,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 2,
+  "use_bias": true,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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+size 455871688

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "mask_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "[PAD]",
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "special": true
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+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "[UNK]"
+}

training_args.bin

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