---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary_L3_1000steps_1e8rate_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. -->

# Summary_L3_1000steps_1e8rate_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: 2.1074

## 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-08
- 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1194        | 0.2   | 50   | 2.1080          |
| 2.1374        | 0.4   | 100  | 2.1080          |
| 2.1206        | 0.6   | 150  | 2.1077          |
| 2.1158        | 0.8   | 200  | 2.1078          |
| 2.1069        | 1.0   | 250  | 2.1076          |
| 2.0952        | 1.2   | 300  | 2.1077          |
| 2.1437        | 1.4   | 350  | 2.1075          |
| 2.0858        | 1.6   | 400  | 2.1075          |
| 2.1032        | 1.8   | 450  | 2.1075          |
| 2.1261        | 2.0   | 500  | 2.1075          |
| 2.1262        | 2.2   | 550  | 2.1074          |
| 2.1092        | 2.4   | 600  | 2.1074          |
| 2.1064        | 2.6   | 650  | 2.1073          |
| 2.1114        | 2.8   | 700  | 2.1073          |
| 2.1092        | 3.0   | 750  | 2.1074          |
| 2.0938        | 3.2   | 800  | 2.1074          |
| 2.0886        | 3.4   | 850  | 2.1074          |
| 2.1191        | 3.6   | 900  | 2.1074          |
| 2.1214        | 3.8   | 950  | 2.1074          |
| 2.0901        | 4.0   | 1000 | 2.1074          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1