metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_cola_1757340161
results: []
train_cola_1757340161
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: 0.1974
- Num Input Tokens Seen: 3668584
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: 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.2082 | 0.5 | 962 | 0.2248 | 183584 |
| 0.2228 | 1.0 | 1924 | 0.2257 | 366856 |
| 0.2581 | 1.5 | 2886 | 0.2271 | 550664 |
| 0.1824 | 2.0 | 3848 | 0.2215 | 734320 |
| 0.0456 | 2.5 | 4810 | 0.1974 | 918128 |
| 0.1908 | 3.0 | 5772 | 0.2151 | 1100800 |
| 0.1309 | 3.5 | 6734 | 0.2010 | 1284064 |
| 0.0898 | 4.0 | 7696 | 0.2117 | 1467824 |
| 0.0125 | 4.5 | 8658 | 0.2159 | 1650992 |
| 0.0637 | 5.0 | 9620 | 0.2153 | 1834632 |
| 0.1687 | 5.5 | 10582 | 0.2167 | 2018408 |
| 0.0009 | 6.0 | 11544 | 0.2551 | 2202264 |
| 0.0536 | 6.5 | 12506 | 0.2365 | 2386136 |
| 0.2994 | 7.0 | 13468 | 0.2262 | 2568880 |
| 0.4543 | 7.5 | 14430 | 0.2324 | 2751696 |
| 0.1854 | 8.0 | 15392 | 0.2370 | 2935520 |
| 0.1913 | 8.5 | 16354 | 0.2382 | 3119168 |
| 0.2666 | 9.0 | 17316 | 0.2380 | 3302192 |
| 0.0615 | 9.5 | 18278 | 0.2377 | 3485264 |
| 0.2186 | 10.0 | 19240 | 0.2372 | 3668584 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1