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: 2.5133
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 |
|---|---|---|---|
| 1.7585 | 1.25 | 25 | 1.5229 |
| 0.755 | 2.5 | 50 | 1.6669 |
| 0.3627 | 3.75 | 75 | 1.7460 |
| 0.1677 | 5.0 | 100 | 1.8874 |
| 0.0916 | 6.25 | 125 | 2.1126 |
| 0.0345 | 7.5 | 150 | 2.2322 |
| 0.0218 | 8.75 | 175 | 2.3397 |
| 0.0222 | 10.0 | 200 | 2.2314 |
| 0.016 | 11.25 | 225 | 2.1066 |
| 0.0061 | 12.5 | 250 | 2.3260 |
| 0.0049 | 13.75 | 275 | 2.2982 |
| 0.0037 | 15.0 | 300 | 2.3236 |
| 0.0028 | 16.25 | 325 | 2.4239 |
| 0.0025 | 17.5 | 350 | 2.4615 |
| 0.0025 | 18.75 | 375 | 2.4799 |
| 0.0025 | 20.0 | 400 | 2.4930 |
| 0.002 | 21.25 | 425 | 2.5027 |
| 0.0018 | 22.5 | 450 | 2.5087 |
| 0.0016 | 23.75 | 475 | 2.5120 |
| 0.0021 | 25.0 | 500 | 2.5133 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1