---
license: cc-by-nc-4.0
base_model: CohereForAI/aya-23-8B
tags:
- generated_from_trainer
model-index:
- name: AYA-CLM-DSM-NoOerlap
  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-CLM-DSM-NoOerlap

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: 2.3013

## 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    | 2.8532          |
| No log        | 2.0   | 12   | 2.6598          |
| No log        | 3.0   | 18   | 2.5029          |
| No log        | 4.0   | 24   | 2.4218          |
| No log        | 5.0   | 30   | 2.3694          |
| No log        | 6.0   | 36   | 2.3356          |
| No log        | 7.0   | 42   | 2.3146          |
| No log        | 8.0   | 48   | 2.3054          |
| No log        | 9.0   | 54   | 2.3027          |
| No log        | 10.0  | 60   | 2.3011          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1