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_codealpacapy_42_1760623957
results: []
train_codealpacapy_42_1760623957
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the codealpacapy dataset. It achieves the following results on the evaluation set:
- Loss: 0.5999
- Num Input Tokens Seen: 22157104
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 |
|---|---|---|---|---|
| 0.5247 | 2.0 | 3392 | 0.5012 | 2222792 |
| 0.6073 | 4.0 | 6784 | 0.4833 | 4435584 |
| 0.4532 | 6.0 | 10176 | 0.4830 | 6643816 |
| 0.4371 | 8.0 | 13568 | 0.4921 | 8867608 |
| 0.3561 | 10.0 | 16960 | 0.5087 | 11077216 |
| 0.4704 | 12.0 | 20352 | 0.5304 | 13294344 |
| 0.3772 | 14.0 | 23744 | 0.5604 | 15504440 |
| 0.4784 | 16.0 | 27136 | 0.5757 | 17721880 |
| 0.3258 | 18.0 | 30528 | 0.5942 | 19940536 |
| 0.3676 | 20.0 | 33920 | 0.5999 | 22157104 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1