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--- |
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license: mit |
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base_model: desarrolloasesoreslocales/bert-leg-al-corpus |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-leg-al-corpus |
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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-leg-al-corpus |
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This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4067 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 120 | 1.4773 | |
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| No log | 2.0 | 240 | 1.4598 | |
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| No log | 3.0 | 360 | 1.4620 | |
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| No log | 4.0 | 480 | 1.4332 | |
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| 1.3749 | 5.0 | 600 | 1.4415 | |
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| 1.3749 | 6.0 | 720 | 1.4439 | |
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| 1.3749 | 7.0 | 840 | 1.4384 | |
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| 1.3749 | 8.0 | 960 | 1.4056 | |
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| 1.4245 | 9.0 | 1080 | 1.4504 | |
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| 1.4245 | 10.0 | 1200 | 1.3799 | |
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| 1.4245 | 11.0 | 1320 | 1.4202 | |
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| 1.4245 | 12.0 | 1440 | 1.4374 | |
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| 1.4527 | 13.0 | 1560 | 1.4145 | |
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| 1.4527 | 14.0 | 1680 | 1.4299 | |
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| 1.4527 | 15.0 | 1800 | 1.3918 | |
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| 1.4527 | 16.0 | 1920 | 1.4007 | |
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| 1.447 | 17.0 | 2040 | 1.4476 | |
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| 1.447 | 18.0 | 2160 | 1.3933 | |
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| 1.447 | 19.0 | 2280 | 1.4311 | |
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| 1.447 | 20.0 | 2400 | 1.3902 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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