---
base_model: ahxt/LiteLlama-460M-1T
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: ColdLLamaLite
  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. -->

# ColdLLamaLite

This model is a fine-tuned version of [ahxt/LiteLlama-460M-1T](https://huggingface.co/ahxt/LiteLlama-460M-1T) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0471

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1747        | 0.8   | 25   | 3.9257          |
| 3.626         | 1.6   | 50   | 3.2474          |
| 2.8441        | 2.4   | 75   | 2.4490          |
| 2.3365        | 3.2   | 100  | 2.2482          |
| 2.2153        | 4.0   | 125  | 2.1758          |
| 2.1591        | 4.8   | 150  | 2.1316          |
| 2.1214        | 5.6   | 175  | 2.1011          |
| 2.0946        | 6.4   | 200  | 2.0781          |
| 2.0818        | 7.2   | 225  | 2.0622          |
| 2.0614        | 8.0   | 250  | 2.0528          |
| 2.0571        | 8.8   | 275  | 2.0485          |
| 2.0522        | 9.6   | 300  | 2.0471          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1