---
license: other
base_model: laurentiubp/CataLLaMA-v0.1.2
tags:
- generated_from_trainer
model-index:
- name: CataLLaMA-v0.2.0
  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. -->

# CataLLaMA-v0.2.0

This model is a fine-tuned version of [laurentiubp/CataLLaMA-v0.1.2](https://huggingface.co/laurentiubp/CataLLaMA-v0.1.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8528

## 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: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- total_train_batch_size: 60
- total_eval_batch_size: 60
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8002        | 0.22  | 200  | 0.8989          |
| 0.8068        | 0.43  | 400  | 0.8835          |
| 0.7722        | 0.65  | 600  | 0.8654          |
| 0.7805        | 0.86  | 800  | 0.8528          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2