test5_balanced
This model is a fine-tuned version of ibaucells/RoBERTa-ca-CaWikiTC on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6178
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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.767 | 1.0 | 63 | 1.7701 |
| 0.7145 | 2.0 | 126 | 1.7878 |
| 0.6274 | 3.0 | 189 | 1.7128 |
| 0.5223 | 4.0 | 252 | 1.8296 |
| 0.4235 | 5.0 | 315 | 1.8380 |
| 0.3006 | 6.0 | 378 | 1.7538 |
| 0.2062 | 7.0 | 441 | 2.2563 |
| 0.2264 | 8.0 | 504 | 2.1357 |
| 0.0617 | 9.0 | 567 | 2.2696 |
| 0.1367 | 10.0 | 630 | 2.2558 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for adriansanz/test5_balanced
Base model
projecte-aina/roberta-base-ca-v2-cawikitc