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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: cointegrated/rubert-tiny2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: bert128b128l
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert128b128l
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+
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+ This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1041
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+ - Accuracy: 0.5639
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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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+ - learning_rate: 1e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.3571 | 1.0 | 1407 | 1.2302 | 0.5070 |
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+ | 1.1759 | 2.0 | 2814 | 1.1297 | 0.552 |
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+ | 1.1233 | 3.0 | 4221 | 1.1041 | 0.5639 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "BertForSequenceClassification"
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+ ],
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 312,
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+ "id2label": {
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+ "0": "Gogol",
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+ "1": "Dostoevsky",
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+ "2": "Chekhov",
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+ "3": "Gorky",
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+ "Gorky": 3,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 2048,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 3,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.0",
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