---
license: other
base_model: laurentiubp/CataLLaMA-v0.1.0
tags:
- generated_from_trainer
model-index:
- name: CataLLaMA-v0.1.1
  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-v0.1.1

This model is a fine-tuned version of [laurentiubp/CataLLaMA-v0.1.0](https://huggingface.co./laurentiubp/CataLLaMA-v0.1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4608

## 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: 5
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5037        | 0.07  | 100  | 1.5150          |
| 1.5181        | 0.15  | 200  | 1.5097          |
| 1.4901        | 0.22  | 300  | 1.5041          |
| 1.5042        | 0.3   | 400  | 1.4980          |
| 1.494         | 0.37  | 500  | 1.4928          |
| 1.4462        | 0.45  | 600  | 1.4875          |
| 1.475         | 0.52  | 700  | 1.4822          |
| 1.4811        | 0.6   | 800  | 1.4774          |
| 1.4511        | 0.67  | 900  | 1.4730          |
| 1.4712        | 0.75  | 1000 | 1.4691          |
| 1.4531        | 0.82  | 1100 | 1.4656          |
| 1.4761        | 0.89  | 1200 | 1.4626          |
| 1.4636        | 0.97  | 1300 | 1.4608          |


### Framework versions

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