metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_42_1760664611
results: []
train_codealpacapy_42_1760664611
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: 0.6779
- Num Input Tokens Seen: 24887720
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: 0.001
- 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 |
|---|---|---|---|---|
| 0.4991 | 1.0 | 1908 | 0.4799 | 1243048 |
| 0.3548 | 2.0 | 3816 | 0.4697 | 2489456 |
| 0.4295 | 3.0 | 5724 | 0.4684 | 3733736 |
| 0.515 | 4.0 | 7632 | 0.4609 | 4976128 |
| 0.5856 | 5.0 | 9540 | 0.4563 | 6219592 |
| 0.5946 | 6.0 | 11448 | 0.4549 | 7467968 |
| 0.4937 | 7.0 | 13356 | 0.4562 | 8709168 |
| 0.4793 | 8.0 | 15264 | 0.4539 | 9958360 |
| 0.4566 | 9.0 | 17172 | 0.4536 | 11204000 |
| 0.4859 | 10.0 | 19080 | 0.4540 | 12446408 |
| 0.3744 | 11.0 | 20988 | 0.4555 | 13691904 |
| 0.4353 | 12.0 | 22896 | 0.4597 | 14937216 |
| 0.5904 | 13.0 | 24804 | 0.4587 | 16179624 |
| 0.3804 | 14.0 | 26712 | 0.4592 | 17425368 |
| 0.3276 | 15.0 | 28620 | 0.4626 | 18668536 |
| 0.458 | 16.0 | 30528 | 0.4635 | 19916008 |
| 0.2553 | 17.0 | 32436 | 0.4646 | 21158120 |
| 0.4614 | 18.0 | 34344 | 0.4666 | 22400368 |
| 0.402 | 19.0 | 36252 | 0.4667 | 23645440 |
| 0.301 | 20.0 | 38160 | 0.4669 | 24887720 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1