---
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: IE_L3_1000steps_1e6rate_SFT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IE_L3_1000steps_1e6rate_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: 1.6162

## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8795        | 0.4   | 50   | 1.7359          |
| 1.5557        | 0.8   | 100  | 1.5149          |
| 1.5505        | 1.2   | 150  | 1.4878          |
| 1.4839        | 1.6   | 200  | 1.4811          |
| 1.4928        | 2.0   | 250  | 1.4778          |
| 1.3677        | 2.4   | 300  | 1.4931          |
| 1.3947        | 2.8   | 350  | 1.4940          |
| 1.1632        | 3.2   | 400  | 1.5277          |
| 1.2544        | 3.6   | 450  | 1.5207          |
| 1.147         | 4.0   | 500  | 1.5292          |
| 1.1403        | 4.4   | 550  | 1.5664          |
| 1.0704        | 4.8   | 600  | 1.5711          |
| 1.0585        | 5.2   | 650  | 1.6079          |
| 1.0515        | 5.6   | 700  | 1.6006          |
| 0.9566        | 6.0   | 750  | 1.6039          |
| 0.9733        | 6.4   | 800  | 1.6169          |
| 0.9837        | 6.8   | 850  | 1.6162          |
| 0.9766        | 7.2   | 900  | 1.6158          |
| 0.924         | 7.6   | 950  | 1.6164          |
| 1.0258        | 8.0   | 1000 | 1.6162          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1