metadata
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
datasets:
- generator
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama381binstruct_summarize_short
results: []
llama381binstruct_summarize_short
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.3076
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.146 | 1.4706 | 25 | 2.0147 |
| 0.1176 | 2.9412 | 50 | 1.8274 |
| 0.0611 | 4.4118 | 75 | 1.8771 |
| 0.0417 | 5.8824 | 100 | 1.9553 |
| 0.0388 | 7.3529 | 125 | 1.8213 |
| 0.0209 | 8.8235 | 150 | 2.0744 |
| 0.0198 | 10.2941 | 175 | 2.0470 |
| 0.0103 | 11.7647 | 200 | 2.1113 |
| 0.0089 | 13.2353 | 225 | 2.0668 |
| 0.0062 | 14.7059 | 250 | 2.0936 |
| 0.0082 | 16.1765 | 275 | 2.0592 |
| 0.0044 | 17.6471 | 300 | 2.1819 |
| 0.0025 | 19.1176 | 325 | 2.2406 |
| 0.0021 | 20.5882 | 350 | 2.2534 |
| 0.0021 | 22.0588 | 375 | 2.2745 |
| 0.0018 | 23.5294 | 400 | 2.2877 |
| 0.0018 | 25.0 | 425 | 2.2974 |
| 0.0016 | 26.4706 | 450 | 2.3034 |
| 0.0017 | 27.9412 | 475 | 2.3066 |
| 0.0016 | 29.4118 | 500 | 2.3076 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1