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: 1.9597
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 |
|---|---|---|---|
| 1.5955 | 2.5 | 25 | 1.1871 |
| 0.4382 | 5.0 | 50 | 1.3249 |
| 0.1055 | 7.5 | 75 | 1.6587 |
| 0.0314 | 10.0 | 100 | 1.7388 |
| 0.018 | 12.5 | 125 | 1.7894 |
| 0.0062 | 15.0 | 150 | 1.8581 |
| 0.0167 | 17.5 | 175 | 1.8562 |
| 0.0034 | 20.0 | 200 | 1.8495 |
| 0.0038 | 22.5 | 225 | 1.8778 |
| 0.0016 | 25.0 | 250 | 1.8412 |
| 0.0012 | 27.5 | 275 | 1.8858 |
| 0.0011 | 30.0 | 300 | 1.9118 |
| 0.001 | 32.5 | 325 | 1.9290 |
| 0.0009 | 35.0 | 350 | 1.9401 |
| 0.0008 | 37.5 | 375 | 1.9467 |
| 0.0008 | 40.0 | 400 | 1.9519 |
| 0.0008 | 42.5 | 425 | 1.9556 |
| 0.0007 | 45.0 | 450 | 1.9579 |
| 0.0007 | 47.5 | 475 | 1.9597 |
| 0.0006 | 50.0 | 500 | 1.9597 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0