---
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