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_boolq_42_1760741342
results: []
train_boolq_42_1760741342
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the boolq dataset. It achieves the following results on the evaluation set:
- Loss: 0.9198
- Num Input Tokens Seen: 38012592
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: 42
- 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 |
|---|---|---|---|---|
| 0.3522 | 2.0 | 3772 | 0.3285 | 3791040 |
| 0.3337 | 4.0 | 7544 | 0.3251 | 7590664 |
| 0.1802 | 6.0 | 11316 | 0.3592 | 11396712 |
| 0.2917 | 8.0 | 15088 | 0.3567 | 15200792 |
| 0.2424 | 10.0 | 18860 | 0.4409 | 18995808 |
| 0.302 | 12.0 | 22632 | 0.5555 | 22800328 |
| 0.0102 | 14.0 | 26404 | 0.7175 | 26603616 |
| 0.0007 | 16.0 | 30176 | 0.8651 | 30411720 |
| 0.0004 | 18.0 | 33948 | 0.9080 | 34215128 |
| 0.0002 | 20.0 | 37720 | 0.9198 | 38012592 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1