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: 2.2237
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 |
|---|---|---|---|
| 1.822 | 1.1364 | 25 | 1.3842 |
| 0.883 | 2.2727 | 50 | 1.3566 |
| 0.4979 | 3.4091 | 75 | 1.5563 |
| 0.1678 | 4.5455 | 100 | 1.7178 |
| 0.088 | 5.6818 | 125 | 1.7917 |
| 0.0517 | 6.8182 | 150 | 1.8856 |
| 0.0407 | 7.9545 | 175 | 1.8559 |
| 0.0263 | 9.0909 | 200 | 1.9859 |
| 0.0192 | 10.2273 | 225 | 1.9196 |
| 0.0096 | 11.3636 | 250 | 2.0297 |
| 0.0112 | 12.5 | 275 | 2.0220 |
| 0.0033 | 13.6364 | 300 | 2.0524 |
| 0.0032 | 14.7727 | 325 | 2.1544 |
| 0.0024 | 15.9091 | 350 | 2.1657 |
| 0.0034 | 17.0455 | 375 | 2.1844 |
| 0.0021 | 18.1818 | 400 | 2.1901 |
| 0.0021 | 19.3182 | 425 | 2.2049 |
| 0.0021 | 20.4545 | 450 | 2.2152 |
| 0.0018 | 21.5909 | 475 | 2.2216 |
| 0.0021 | 22.7273 | 500 | 2.2237 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1