End of training

README.md

@@ -0,0 +1,83 @@
+---
+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_BioS73_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_BioS73_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: 0.6204
+- F1 Score: 0.8827
+- Precision: 0.8652
+- Recall: 0.9008
+- Accuracy: 0.8722
+- Auc: 0.9384
+- Prc: 0.9368
+
+## 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    |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
+| 0.4735        | 0.1864 | 500  | 0.4718          | 0.8258   | 0.7264    | 0.9567 | 0.7846   | 0.8950 | 0.8902 |
+| 0.4071        | 0.3727 | 1000 | 0.4255          | 0.8534   | 0.7923    | 0.9246 | 0.8304   | 0.9117 | 0.9095 |
+| 0.391         | 0.5591 | 1500 | 0.4176          | 0.8508   | 0.8496    | 0.8520 | 0.8405   | 0.9184 | 0.9132 |
+| 0.3833        | 0.7454 | 2000 | 0.3674          | 0.8655   | 0.8235    | 0.9120 | 0.8487   | 0.9209 | 0.9082 |
+| 0.3812        | 0.9318 | 2500 | 0.4179          | 0.8652   | 0.7974    | 0.9455 | 0.8427   | 0.9255 | 0.9217 |
+| 0.3673        | 1.1182 | 3000 | 0.3696          | 0.8714   | 0.8180    | 0.9323 | 0.8531   | 0.9295 | 0.9266 |
+| 0.3469        | 1.3045 | 3500 | 0.3985          | 0.8696   | 0.8121    | 0.9358 | 0.8502   | 0.9324 | 0.9307 |
+| 0.3452        | 1.4909 | 4000 | 0.3347          | 0.8724   | 0.8685    | 0.8764 | 0.8632   | 0.9327 | 0.9316 |
+| 0.3241        | 1.6772 | 4500 | 0.4804          | 0.8753   | 0.8316    | 0.9239 | 0.8595   | 0.9350 | 0.9341 |
+| 0.3529        | 1.8636 | 5000 | 0.4180          | 0.8789   | 0.8330    | 0.9302 | 0.8632   | 0.9366 | 0.9364 |
+| 0.3102        | 2.0499 | 5500 | 0.5486          | 0.8851   | 0.8460    | 0.9281 | 0.8714   | 0.9378 | 0.9371 |
+| 0.3217        | 2.2363 | 6000 | 0.5019          | 0.8856   | 0.8498    | 0.9246 | 0.8725   | 0.9390 | 0.9369 |
+| 0.272         | 2.4227 | 6500 | 0.4057          | 0.8844   | 0.8591    | 0.9113 | 0.8729   | 0.9416 | 0.9410 |
+| 0.303         | 2.6090 | 7000 | 0.5302          | 0.8806   | 0.8187    | 0.9525 | 0.8621   | 0.9372 | 0.9321 |
+| 0.2944        | 2.7954 | 7500 | 0.4633          | 0.8819   | 0.8676    | 0.8966 | 0.8718   | 0.9405 | 0.9392 |
+| 0.269         | 2.9817 | 8000 | 0.5419          | 0.8756   | 0.8042    | 0.9609 | 0.8543   | 0.9432 | 0.9423 |
+| 0.2168        | 3.1681 | 8500 | 0.6204          | 0.8827   | 0.8652    | 0.9008 | 0.8722   | 0.9384 | 0.9368 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.0

config.json

@@ -0,0 +1,35 @@
+{
+  "_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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abbc4e852ef050ed5df2f7106120fad1508bdb26c5517cf9d4b71e3d530bc273
+size 455871688

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "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

@@ -0,0 +1,60 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "-",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72d83833f254125e88427734b01ba1be88b2a3e51f206cb53a3d12793e37bd4a
+size 5240