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_1760629239
results: []
train_codealpacapy_42_1760629239
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: 0.5974
- 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 |
|---|---|---|---|---|
| 0.5308 | 2.0 | 3392 | 0.5023 | 2222792 |
| 0.6077 | 4.0 | 6784 | 0.4844 | 4435584 |
| 0.4561 | 6.0 | 10176 | 0.4838 | 6643816 |
| 0.4409 | 8.0 | 13568 | 0.4914 | 8867608 |
| 0.356 | 10.0 | 16960 | 0.5062 | 11077216 |
| 0.4671 | 12.0 | 20352 | 0.5286 | 13294344 |
| 0.3736 | 14.0 | 23744 | 0.5563 | 15504440 |
| 0.4832 | 16.0 | 27136 | 0.5748 | 17721880 |
| 0.3324 | 18.0 | 30528 | 0.5915 | 19940536 |
| 0.3648 | 20.0 | 33920 | 0.5974 | 22157104 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1