metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_piqa_123_1762638012
results: []
train_piqa_123_1762638012
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the piqa dataset. It achieves the following results on the evaluation set:
- Loss: 0.4014
- Num Input Tokens Seen: 39274528
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.2264 | 2.0 | 6446 | 0.2327 | 3934032 |
| 0.2373 | 4.0 | 12892 | 0.2313 | 7851504 |
| 0.2256 | 6.0 | 19338 | 0.2322 | 11793056 |
| 0.2268 | 8.0 | 25784 | 0.2320 | 15724160 |
| 0.248 | 10.0 | 32230 | 0.2319 | 19655824 |
| 0.1983 | 12.0 | 38676 | 0.2498 | 23574992 |
| 0.2071 | 14.0 | 45122 | 0.2693 | 27497648 |
| 0.2247 | 16.0 | 51568 | 0.3159 | 31419552 |
| 0.1999 | 18.0 | 58014 | 0.3811 | 35346160 |
| 0.1512 | 20.0 | 64460 | 0.4014 | 39274528 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1