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_cola_123_1757596073
results: []
train_cola_123_1757596073
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the cola dataset. It achieves the following results on the evaluation set:
- Loss: 0.2690
- Num Input Tokens Seen: 3669168
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.2459 | 0.5 | 962 | 0.2198 | 184192 |
| 0.1912 | 1.0 | 1924 | 0.3721 | 367320 |
| 0.3065 | 1.5 | 2886 | 0.1982 | 550840 |
| 0.1991 | 2.0 | 3848 | 0.1548 | 734600 |
| 0.1468 | 2.5 | 4810 | 0.1629 | 918600 |
| 0.2305 | 3.0 | 5772 | 0.1594 | 1101216 |
| 0.1234 | 3.5 | 6734 | 0.1433 | 1284288 |
| 0.1783 | 4.0 | 7696 | 0.1576 | 1468552 |
| 0.0612 | 4.5 | 8658 | 0.1543 | 1651528 |
| 0.0945 | 5.0 | 9620 | 0.1614 | 1834816 |
| 0.2202 | 5.5 | 10582 | 0.1649 | 2018016 |
| 0.0456 | 6.0 | 11544 | 0.1480 | 2201584 |
| 0.2812 | 6.5 | 12506 | 0.1692 | 2385200 |
| 0.03 | 7.0 | 13468 | 0.1700 | 2568288 |
| 0.2057 | 7.5 | 14430 | 0.1858 | 2751584 |
| 0.0633 | 8.0 | 15392 | 0.1887 | 2935056 |
| 0.0306 | 8.5 | 16354 | 0.1888 | 3118000 |
| 0.0089 | 9.0 | 17316 | 0.2036 | 3301760 |
| 0.0546 | 9.5 | 18278 | 0.2047 | 3485344 |
| 0.1406 | 10.0 | 19240 | 0.2037 | 3669168 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1