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--- |
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license: apache-2.0 |
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base_model: ibaucells/RoBERTa-ca-CaWikiTC |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test7_balanced_and_sentence |
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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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# test7_balanced_and_sentence |
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This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7381 |
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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: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8474 | 1.0 | 63 | 2.8422 | |
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| 2.8221 | 2.0 | 126 | 2.8406 | |
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| 2.8228 | 3.0 | 189 | 2.8483 | |
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| 2.7804 | 4.0 | 252 | 2.8079 | |
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| 2.6707 | 5.0 | 315 | 2.7224 | |
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| 2.5542 | 6.0 | 378 | 2.6884 | |
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| 2.3782 | 7.0 | 441 | 2.5568 | |
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| 2.302 | 8.0 | 504 | 2.5003 | |
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| 1.9717 | 9.0 | 567 | 2.2786 | |
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| 1.7659 | 10.0 | 630 | 2.1437 | |
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| 1.4552 | 11.0 | 693 | 2.0261 | |
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| 1.1394 | 12.0 | 756 | 1.8772 | |
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| 0.8644 | 13.0 | 819 | 1.8367 | |
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| 0.826 | 14.0 | 882 | 1.6980 | |
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| 0.5626 | 15.0 | 945 | 1.8251 | |
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| 0.3684 | 16.0 | 1008 | 1.8207 | |
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| 0.2861 | 17.0 | 1071 | 2.0102 | |
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| 0.2056 | 18.0 | 1134 | 2.2188 | |
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| 0.1174 | 19.0 | 1197 | 2.1110 | |
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| 0.1485 | 20.0 | 1260 | 2.1932 | |
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| 0.1064 | 21.0 | 1323 | 2.2119 | |
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| 0.065 | 22.0 | 1386 | 2.3062 | |
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| 0.0528 | 23.0 | 1449 | 2.3949 | |
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| 0.0734 | 24.0 | 1512 | 2.3761 | |
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| 0.0342 | 25.0 | 1575 | 2.4951 | |
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| 0.0686 | 26.0 | 1638 | 2.5017 | |
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| 0.0281 | 27.0 | 1701 | 2.5199 | |
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| 0.0262 | 28.0 | 1764 | 2.5461 | |
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| 0.0346 | 29.0 | 1827 | 2.5469 | |
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| 0.0261 | 30.0 | 1890 | 2.5541 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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