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--- |
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base_model: dccuchile/bert-base-spanish-wwm-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert_adaptation_martin_fierro |
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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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# bert_adaptation_martin_fierro |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3589 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 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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| 5.7247 | 1.0 | 29 | 5.0114 | |
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| 4.7766 | 2.0 | 58 | 4.5598 | |
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| 4.3216 | 3.0 | 87 | 4.3656 | |
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| 4.0132 | 4.0 | 116 | 4.5464 | |
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| 3.8366 | 5.0 | 145 | 4.0157 | |
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| 3.7597 | 6.0 | 174 | 3.8641 | |
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| 3.6244 | 7.0 | 203 | 3.7634 | |
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| 3.6043 | 8.0 | 232 | 3.9174 | |
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| 3.4767 | 9.0 | 261 | 3.7874 | |
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| 3.2991 | 10.0 | 290 | 3.8620 | |
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| 3.3156 | 11.0 | 319 | 3.6171 | |
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| 3.1485 | 12.0 | 348 | 3.7967 | |
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| 3.0732 | 13.0 | 377 | 3.3494 | |
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| 3.0403 | 14.0 | 406 | 3.6496 | |
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| 2.9722 | 15.0 | 435 | 3.9632 | |
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| 2.9535 | 16.0 | 464 | 3.4333 | |
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| 2.9057 | 17.0 | 493 | 3.9740 | |
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| 2.724 | 18.0 | 522 | 3.8314 | |
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| 2.885 | 19.0 | 551 | 3.7820 | |
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| 2.861 | 20.0 | 580 | 3.6939 | |
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| 2.8194 | 21.0 | 609 | 3.9656 | |
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| 2.7182 | 22.0 | 638 | 3.8121 | |
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| 2.6446 | 23.0 | 667 | 3.8670 | |
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| 2.6841 | 24.0 | 696 | 3.6597 | |
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| 2.793 | 25.0 | 725 | 3.8053 | |
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| 2.7631 | 26.0 | 754 | 4.1065 | |
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| 2.5897 | 27.0 | 783 | 3.7100 | |
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| 2.6229 | 28.0 | 812 | 3.7801 | |
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| 2.6084 | 29.0 | 841 | 3.7222 | |
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| 2.634 | 30.0 | 870 | 3.6621 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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