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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: 0.1193
## 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2338 | 0.1456 | 20 | 0.3871 |
| 0.3226 | 0.2911 | 40 | 0.2794 |
| 0.2612 | 0.4367 | 60 | 0.2409 |
| 0.2238 | 0.5822 | 80 | 0.2055 |
| 0.1848 | 0.7278 | 100 | 0.1625 |
| 0.1505 | 0.8733 | 120 | 0.1424 |
| 0.1382 | 1.0189 | 140 | 0.1347 |
| 0.1319 | 1.1644 | 160 | 0.1311 |
| 0.1281 | 1.3100 | 180 | 0.1265 |
| 0.1248 | 1.4555 | 200 | 0.1237 |
| 0.1228 | 1.6011 | 220 | 0.1221 |
| 0.1205 | 1.7466 | 240 | 0.1200 |
| 0.1201 | 1.8922 | 260 | 0.1193 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1 |