data/openllama-3b-basque
This model is a fine-tuned version of openlm-research/open_llama_3b_v2 on the xezpeleta/oasst1_eu_threads dataset. It achieves the following results on the evaluation set:
- Loss: 2.1151
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: 3e-06
- 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: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4011 | 0.0 | 1 | 3.5208 |
| 2.4173 | 0.25 | 917 | 2.6480 |
| 2.4849 | 0.5 | 1834 | 2.4465 |
| 2.2639 | 0.75 | 2751 | 2.3302 |
| 2.4403 | 1.0 | 3668 | 2.2548 |
| 2.1016 | 1.23 | 4585 | 2.2111 |
| 2.0178 | 1.48 | 5502 | 2.1805 |
| 2.041 | 1.73 | 6419 | 2.1476 |
| 2.0026 | 1.98 | 7336 | 2.1347 |
| 1.7586 | 2.22 | 8253 | 2.1187 |
| 1.8564 | 2.47 | 9170 | 2.1191 |
| 1.766 | 2.72 | 10087 | 2.1147 |
| 2.0431 | 2.97 | 11004 | 2.1157 |
| 2.3418 | 3.2 | 11921 | 2.1147 |
| 1.9713 | 3.45 | 12838 | 2.1151 |
| 1.9072 | 3.7 | 13755 | 2.1151 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0