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--- |
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license: apache-2.0 |
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base_model: PlanTL-GOB-ES/roberta-base-bne |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: final-ft__roberta-base-bne__70k-ultrasounds |
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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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# final-ft__roberta-base-bne__70k-ultrasounds |
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6164 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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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- mixed_precision_training: Native AMP |
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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 | 259 | 1.1165 | |
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| No log | 2.0 | 518 | 0.9244 | |
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| No log | 3.0 | 777 | 0.8153 | |
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| 1.0516 | 4.0 | 1036 | 0.7842 | |
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| 1.0516 | 5.0 | 1295 | 0.7262 | |
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| 1.0516 | 6.0 | 1554 | 0.7235 | |
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| 1.0516 | 7.0 | 1813 | 0.6960 | |
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| 0.7109 | 8.0 | 2072 | 0.6787 | |
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| 0.7109 | 9.0 | 2331 | 0.6799 | |
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| 0.7109 | 10.0 | 2590 | 0.6718 | |
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| 0.7109 | 11.0 | 2849 | 0.6488 | |
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| 0.6385 | 12.0 | 3108 | 0.6426 | |
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| 0.6385 | 13.0 | 3367 | 0.6415 | |
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| 0.6385 | 14.0 | 3626 | 0.6232 | |
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| 0.6385 | 15.0 | 3885 | 0.6329 | |
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| 0.6042 | 16.0 | 4144 | 0.6036 | |
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| 0.6042 | 17.0 | 4403 | 0.6161 | |
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| 0.6042 | 18.0 | 4662 | 0.6193 | |
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| 0.6042 | 19.0 | 4921 | 0.6183 | |
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| 0.587 | 20.0 | 5180 | 0.6164 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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