---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: CohereForAI/aya-101
model-index:
- name: aya-Lora_12K-V0-0
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/farzan-ai/aya2-Lora_3.6K/runs/0m78pvto)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/farzan-ai/aya2-Lora_.5K/runs/4qom3bxl)
# aya-Lora_12K-V0-0

This model is a fine-tuned version of [CohereForAI/aya-101](https://huggingface.co/CohereForAI/aya-101) on an unknown dataset.

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.19.1