---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: UTI_L3_300steps_1e7rate_SFT
  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. -->

# UTI_L3_300steps_1e7rate_SFT

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6612

## 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-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7452        | 0.3333 | 25   | 2.7748          |
| 2.7844        | 0.6667 | 50   | 2.7704          |
| 2.7915        | 1.0    | 75   | 2.7596          |
| 2.7945        | 1.3333 | 100  | 2.7379          |
| 2.6614        | 1.6667 | 125  | 2.7138          |
| 2.555         | 2.0    | 150  | 2.6921          |
| 2.6746        | 2.3333 | 175  | 2.6756          |
| 2.7057        | 2.6667 | 200  | 2.6665          |
| 2.7025        | 3.0    | 225  | 2.6620          |
| 2.6592        | 3.3333 | 250  | 2.6607          |
| 2.5701        | 3.6667 | 275  | 2.6610          |
| 2.6338        | 4.0    | 300  | 2.6612          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1