metadata
license: cc-by-nc-4.0
base_model: CohereForAI/aya-23-8B
tags:
- generated_from_trainer
model-index:
- name: AYA-CLM-DSM-NoOerlap
results: []
AYA-CLM-DSM-NoOerlap
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: 2.3016
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-06
- 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 2.8530 |
| No log | 2.0 | 12 | 2.6595 |
| No log | 3.0 | 18 | 2.5028 |
| No log | 4.0 | 24 | 2.4215 |
| No log | 5.0 | 30 | 2.3694 |
| No log | 6.0 | 36 | 2.3343 |
| No log | 7.0 | 42 | 2.3137 |
| No log | 8.0 | 48 | 2.3057 |
| No log | 9.0 | 54 | 2.3008 |
| No log | 10.0 | 60 | 2.3014 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1