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: 2.6421
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 |
|---|---|---|---|
| 1.6462 | 1.25 | 25 | 1.6200 |
| 0.6375 | 2.5 | 50 | 1.7340 |
| 0.3765 | 3.75 | 75 | 1.7938 |
| 0.1611 | 5.0 | 100 | 2.0300 |
| 0.0918 | 6.25 | 125 | 2.1064 |
| 0.0293 | 7.5 | 150 | 2.3839 |
| 0.022 | 8.75 | 175 | 2.4332 |
| 0.0233 | 10.0 | 200 | 2.3058 |
| 0.0147 | 11.25 | 225 | 2.5775 |
| 0.0098 | 12.5 | 250 | 2.3925 |
| 0.0046 | 13.75 | 275 | 2.4783 |
| 0.0062 | 15.0 | 300 | 2.5364 |
| 0.0036 | 16.25 | 325 | 2.5107 |
| 0.0023 | 17.5 | 350 | 2.5617 |
| 0.0021 | 18.75 | 375 | 2.5967 |
| 0.0023 | 20.0 | 400 | 2.6159 |
| 0.0024 | 21.25 | 425 | 2.6281 |
| 0.0017 | 22.5 | 450 | 2.6365 |
| 0.0019 | 23.75 | 475 | 2.6405 |
| 0.0019 | 25.0 | 500 | 2.6421 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1