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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: rubert-tiny2-1-4
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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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+ # rubert-tiny2-1-4
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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: 0.3882
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+ - Accuracy: 0.9001
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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: 32
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+ - eval_batch_size: 32
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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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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+ | 1.9597 | 1.0 | 1500 | 1.1052 | 0.7613 |
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+ | 0.9583 | 2.0 | 3000 | 0.8140 | 0.8157 |
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+ | 0.7343 | 3.0 | 4500 | 0.6514 | 0.8502 |
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+ | 0.6076 | 4.0 | 6000 | 0.5656 | 0.867 |
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+ | 0.5257 | 5.0 | 7500 | 0.5115 | 0.8771 |
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+ | 0.4694 | 6.0 | 9000 | 0.4748 | 0.8826 |
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+ | 0.4296 | 7.0 | 10500 | 0.4477 | 0.8885 |
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+ | 0.4006 | 8.0 | 12000 | 0.4295 | 0.8938 |
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+ | 0.3753 | 9.0 | 13500 | 0.4159 | 0.896 |
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+ | 0.358 | 10.0 | 15000 | 0.4066 | 0.8979 |
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+ | 0.3417 | 11.0 | 16500 | 0.3994 | 0.8992 |
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+ | 0.3296 | 12.0 | 18000 | 0.3943 | 0.8993 |
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+ | 0.3203 | 13.0 | 19500 | 0.3914 | 0.8993 |
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+ | 0.3158 | 14.0 | 21000 | 0.3889 | 0.9001 |
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+ | 0.3126 | 15.0 | 22500 | 0.3882 | 0.9001 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
runs/Dec26_09-31-34_b4a157e0d31e/events.out.tfevents.1703583695.b4a157e0d31e.1546.8 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b8a8d3dec9a398a83b414f7678b0222a651b016a370fd6d9c963d179e8e10eaa
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+ size 417