robertita-cased-finetuned-quales
This model is a fine-tuned version of filevich/robertita-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4854
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6568 | 1.0 | 960 | 0.4299 |
| 0.2565 | 2.0 | 1920 | 0.4342 |
| 0.1657 | 3.0 | 2880 | 0.4854 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Downloads last month
- 2
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for luischir/robertita-cased-finetuned-quales
Base model
filevich/robertita-cased