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---
license: apache-2.0
base_model: BSC-LT/roberta-base-biomedical-clinical-es
tags:
- generated_from_trainer
model-index:
- name: final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds
This model is a fine-tuned version of [BSC-LT/roberta-base-biomedical-clinical-es](https://huggingface.co/BSC-LT/roberta-base-biomedical-clinical-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5971
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log | 0.9978 | 229 | 0.9388 |
| No log | 2.0 | 459 | 0.8139 |
| No log | 2.9978 | 688 | 0.7544 |
| 0.9622 | 4.0 | 918 | 0.7302 |
| 0.9622 | 4.9978 | 1147 | 0.6878 |
| 0.9622 | 6.0 | 1377 | 0.6754 |
| 0.9622 | 6.9978 | 1606 | 0.6625 |
| 0.715 | 8.0 | 1836 | 0.6431 |
| 0.715 | 8.9978 | 2065 | 0.6278 |
| 0.715 | 10.0 | 2295 | 0.6361 |
| 0.715 | 10.9978 | 2524 | 0.6296 |
| 0.6597 | 12.0 | 2754 | 0.6164 |
| 0.6597 | 12.9978 | 2983 | 0.6117 |
| 0.6597 | 14.0 | 3213 | 0.6052 |
| 0.6597 | 14.9978 | 3442 | 0.6064 |
| 0.6354 | 16.0 | 3672 | 0.6225 |
| 0.6354 | 16.9978 | 3901 | 0.5974 |
| 0.6354 | 18.0 | 4131 | 0.6010 |
| 0.6354 | 18.9978 | 4360 | 0.5816 |
| 0.6354 | 19.9564 | 4580 | 0.5971 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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