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_wsc_42_1760619133
results: []
train_wsc_42_1760619133
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the wsc dataset. It achieves the following results on the evaluation set:
- Loss: 0.4196
- Num Input Tokens Seen: 1308280
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.4599 | 3.0 | 333 | 0.4038 | 130808 |
| 0.3618 | 6.0 | 666 | 0.3551 | 260688 |
| 0.3542 | 9.0 | 999 | 0.3522 | 390936 |
| 0.3678 | 12.0 | 1332 | 0.3531 | 521840 |
| 0.337 | 15.0 | 1665 | 0.3619 | 653216 |
| 0.3321 | 18.0 | 1998 | 0.3597 | 784328 |
| 0.3729 | 21.0 | 2331 | 0.3777 | 916192 |
| 0.315 | 24.0 | 2664 | 0.3979 | 1046952 |
| 0.3353 | 27.0 | 2997 | 0.4137 | 1177504 |
| 0.3193 | 30.0 | 3330 | 0.4196 | 1308280 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1