metadata
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertin-roberta-base-spanish-finetuned-recores
results: []
bertin-roberta-base-spanish-finetuned-recores
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2985
- Accuracy: 0.3581
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6065 | 1.0 | 1047 | 1.5944 | 0.2948 |
| 1.4913 | 2.0 | 2094 | 2.4456 | 0.3581 |
| 0.7893 | 3.0 | 3141 | 3.4247 | 0.3691 |
| 0.2117 | 4.0 | 4188 | 3.9878 | 0.3526 |
| 0.0509 | 5.0 | 5235 | 4.2985 | 0.3581 |
Framework versions
- Transformers 4.19.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1