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: 2.1005
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: 22
- 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 |
|---|---|---|---|
| No log | 1.0 | 5 | 2.1842 |
| No log | 2.0 | 10 | 2.1059 |
| No log | 3.0 | 15 | 2.1013 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1