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---
license: llama3.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3.1_8b_bwgenerator
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. -->
# llama3.1_8b_bwgenerator
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1856
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8017 | 0.2585 | 10 | 0.8807 |
| 0.5653 | 0.5170 | 20 | 0.3488 |
| 0.3026 | 0.7754 | 30 | 0.2705 |
| 0.255 | 1.0339 | 40 | 0.2418 |
| 0.2307 | 1.2924 | 50 | 0.2223 |
| 0.2157 | 1.5509 | 60 | 0.2099 |
| 0.206 | 1.8094 | 70 | 0.2021 |
| 0.1978 | 2.0679 | 80 | 0.1962 |
| 0.1913 | 2.3263 | 90 | 0.1910 |
| 0.1882 | 2.5848 | 100 | 0.1877 |
| 0.1861 | 2.8433 | 110 | 0.1856 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1 |