---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary_L3_1000steps_1e7rate_SFT2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Summary_L3_1000steps_1e7rate_SFT2

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: 1.5908

## 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1137        | 0.2   | 50   | 2.1001          |
| 2.0888        | 0.4   | 100  | 2.0502          |
| 1.9941        | 0.6   | 150  | 1.9720          |
| 1.9206        | 0.8   | 200  | 1.9029          |
| 1.8477        | 1.0   | 250  | 1.8416          |
| 1.7846        | 1.2   | 300  | 1.7881          |
| 1.7997        | 1.4   | 350  | 1.7414          |
| 1.6961        | 1.6   | 400  | 1.7028          |
| 1.6667        | 1.8   | 450  | 1.6706          |
| 1.6768        | 2.0   | 500  | 1.6449          |
| 1.6485        | 2.2   | 550  | 1.6250          |
| 1.6208        | 2.4   | 600  | 1.6107          |
| 1.6199        | 2.6   | 650  | 1.6006          |
| 1.6081        | 2.8   | 700  | 1.5947          |
| 1.5993        | 3.0   | 750  | 1.5916          |
| 1.5986        | 3.2   | 800  | 1.5910          |
| 1.5963        | 3.4   | 850  | 1.5907          |
| 1.6348        | 3.6   | 900  | 1.5907          |
| 1.6064        | 3.8   | 950  | 1.5908          |
| 1.5811        | 4.0   | 1000 | 1.5908          |


### Framework versions

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