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--- |
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license: mit |
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base_model: cointegrated/rut5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetune_t5_small_gusev_full |
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results: [] |
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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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# finetune_t5_small_gusev_full |
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This model is a fine-tuned version of [cointegrated/rut5-small](https://huggingface.co/cointegrated/rut5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7795 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0004 |
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- train_batch_size: 24 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 288 |
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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: 100 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7388 | 0.61 | 150 | 2.2027 | |
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| 2.5562 | 1.22 | 300 | 2.0326 | |
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| 2.4982 | 1.83 | 450 | 1.9607 | |
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| 2.4324 | 2.44 | 600 | 1.9077 | |
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| 2.4015 | 3.05 | 750 | 1.8711 | |
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| 2.3623 | 3.65 | 900 | 1.8451 | |
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| 2.3282 | 4.26 | 1050 | 1.8304 | |
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| 2.3072 | 4.87 | 1200 | 1.8120 | |
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| 2.2878 | 5.48 | 1350 | 1.8007 | |
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| 2.2689 | 6.09 | 1500 | 1.7919 | |
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| 2.2814 | 6.7 | 1650 | 1.7863 | |
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| 2.2443 | 7.31 | 1800 | 1.7835 | |
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| 2.2665 | 7.92 | 1950 | 1.7795 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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