---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-70B-Instruct
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: llama-3.1-70B-Instruct_playpen_SFT_DFINAL_1.1K-steps
  results: []
---

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# llama-3.1-70B-Instruct_playpen_SFT_DFINAL_1.1K-steps

This model is a fine-tuned version of [meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2117

## 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: 4
- eval_batch_size: 8
- seed: 7331
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 5
- training_steps: 1100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1986        | 0.0565 | 100  | 0.3041          |
| 0.304         | 0.1130 | 200  | 0.2570          |
| 0.1929        | 0.1695 | 300  | 0.2578          |
| 0.149         | 0.2260 | 400  | 0.2319          |
| 0.1458        | 0.2825 | 500  | 0.2283          |
| 0.1391        | 0.3390 | 600  | 0.2314          |
| 0.0896        | 0.3955 | 700  | 0.2175          |
| 0.1225        | 0.4520 | 800  | 0.2172          |
| 0.0894        | 0.5085 | 900  | 0.2137          |
| 0.1038        | 0.5650 | 1000 | 0.2112          |
| 0.1273        | 0.6215 | 1100 | 0.2117          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0