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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: 2.1090 |
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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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| 2.8511 | 1.0 | 63 | 2.8392 | |
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| 2.8303 | 2.0 | 126 | 2.8357 | |
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| 2.8277 | 3.0 | 189 | 2.8396 | |
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| 2.7933 | 4.0 | 252 | 2.8123 | |
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| 2.7264 | 5.0 | 315 | 2.7844 | |
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| 2.6213 | 6.0 | 378 | 2.7200 | |
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| 2.513 | 7.0 | 441 | 2.7099 | |
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| 2.4436 | 8.0 | 504 | 2.5845 | |
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| 2.0946 | 9.0 | 567 | 2.5724 | |
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| 1.9708 | 10.0 | 630 | 2.3567 | |
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| 1.6289 | 11.0 | 693 | 2.3670 | |
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| 1.5015 | 12.0 | 756 | 2.3716 | |
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| 1.3488 | 13.0 | 819 | 2.1432 | |
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| 1.0815 | 14.0 | 882 | 2.2774 | |
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| 0.9128 | 15.0 | 945 | 2.3228 | |
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| 0.7779 | 16.0 | 1008 | 2.2310 | |
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| 0.5918 | 17.0 | 1071 | 2.3602 | |
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| 0.5215 | 18.0 | 1134 | 2.3472 | |
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| 0.3969 | 19.0 | 1197 | 2.3990 | |
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| 0.421 | 20.0 | 1260 | 2.4948 | |
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| 0.2811 | 21.0 | 1323 | 2.6314 | |
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| 0.2538 | 22.0 | 1386 | 2.7452 | |
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| 0.1646 | 23.0 | 1449 | 2.7550 | |
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| 0.1553 | 24.0 | 1512 | 2.8536 | |
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| 0.1743 | 25.0 | 1575 | 2.8543 | |
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| 0.198 | 26.0 | 1638 | 2.9044 | |
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| 0.1065 | 27.0 | 1701 | 2.9262 | |
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| 0.0935 | 28.0 | 1764 | 2.8968 | |
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| 0.0972 | 29.0 | 1827 | 2.9331 | |
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| 0.1296 | 30.0 | 1890 | 2.9396 | |
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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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