desarrolloasesoreslocales
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End of training
Browse files
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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model-index:
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- name: bert-leg-al-corpus
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results: []
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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.
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## Model description
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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:
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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 | 54 | 1.
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| No log | 2.0 | 108 | 1.
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| No log | 3.0 | 162 | 1.
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| No log | 4.0 | 216 | 1.
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| No log | 5.0 | 270 | 1.
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| No log | 6.0 | 324 | 1.
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| No log | 7.0 | 378 | 1.
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| No log | 8.0 | 432 | 1.
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| No log | 9.0 | 486 | 1.
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| 1.
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### Framework versions
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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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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: 1.7132
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## Model description
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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 | 54 | 1.7600 |
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| No log | 2.0 | 108 | 1.7598 |
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| No log | 3.0 | 162 | 1.7642 |
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| No log | 4.0 | 216 | 1.7780 |
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| No log | 5.0 | 270 | 1.7340 |
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| No log | 6.0 | 324 | 1.7279 |
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| No log | 7.0 | 378 | 1.7354 |
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| No log | 8.0 | 432 | 1.7241 |
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| No log | 9.0 | 486 | 1.7431 |
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| 1.8388 | 10.0 | 540 | 1.7157 |
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| 1.8388 | 11.0 | 594 | 1.7248 |
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| 1.8388 | 12.0 | 648 | 1.7144 |
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| 1.8388 | 13.0 | 702 | 1.6979 |
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| 1.8388 | 14.0 | 756 | 1.7217 |
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| 1.8388 | 15.0 | 810 | 1.7059 |
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| 1.8388 | 16.0 | 864 | 1.7506 |
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| 1.8388 | 17.0 | 918 | 1.7058 |
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| 1.8388 | 18.0 | 972 | 1.6922 |
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| 1.7728 | 19.0 | 1026 | 1.6916 |
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| 1.7728 | 20.0 | 1080 | 1.7038 |
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### Framework versions
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model.safetensors
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