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_multirc_42_1762157867
results: []
train_multirc_42_1762157867
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the multirc dataset. It achieves the following results on the evaluation set:
- Loss: 1.3516
- Num Input Tokens Seen: 235236032
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 |
|---|---|---|---|---|
| 0.3043 | 2.0 | 10898 | 0.3264 | 23532080 |
| 0.2302 | 4.0 | 21796 | 0.2811 | 47052688 |
| 0.3924 | 6.0 | 32694 | 0.2795 | 70559552 |
| 0.5919 | 8.0 | 43592 | 0.4028 | 94090912 |
| 0.2932 | 10.0 | 54490 | 0.4974 | 117581632 |
| 0.1446 | 12.0 | 65388 | 0.7075 | 141126560 |
| 0.0681 | 14.0 | 76286 | 0.9348 | 164667088 |
| 0.0119 | 16.0 | 87184 | 1.1813 | 188204656 |
| 0.0001 | 18.0 | 98082 | 1.3180 | 211741792 |
| 0.0 | 20.0 | 108980 | 1.3516 | 235236032 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1