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_record_456_1765497008
results: []
train_record_456_1765497008
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the record dataset. It achieves the following results on the evaluation set:
- Loss: 0.7662
- Num Input Tokens Seen: 825842872
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: 456
- 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 |
|---|---|---|---|---|
| 0.3162 | 2.0 | 55542 | 0.3295 | 82575768 |
| 0.2316 | 4.0 | 111084 | 0.3089 | 165157440 |
| 0.1282 | 6.0 | 166626 | 0.3197 | 247729272 |
| 0.3115 | 8.0 | 222168 | 0.3684 | 330335744 |
| 0.1834 | 10.0 | 277710 | 0.3845 | 412926800 |
| 0.1034 | 12.0 | 333252 | 0.4592 | 495527344 |
| 0.1371 | 14.0 | 388794 | 0.5166 | 578116744 |
| 0.1282 | 16.0 | 444336 | 0.5714 | 660702320 |
| 0.095 | 18.0 | 499878 | 0.7066 | 743276176 |
| 0.1437 | 20.0 | 555420 | 0.7662 | 825842872 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1