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---
license: cc-by-nc-4.0
base_model: CohereForAI/aya-23-8B
tags:
- generated_from_trainer
model-index:
- name: AYA-8B
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AYA-8B
This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/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
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