AYA-8B
This model is a fine-tuned version of CohereForAI/aya-23-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0612
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 1.8918 |
| No log | 2.0 | 42 | 1.9454 |
| No log | 3.0 | 63 | 2.2400 |
| No log | 4.0 | 84 | 2.4862 |
| No log | 5.0 | 105 | 2.5904 |
| No log | 6.0 | 126 | 2.8061 |
| No log | 7.0 | 147 | 2.8986 |
| No log | 8.0 | 168 | 2.9773 |
| No log | 9.0 | 189 | 3.0367 |
| No log | 10.0 | 210 | 3.0612 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1