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_1757340185
results: []
train_cola_1757340185
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: 0.1891
- 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 |
|---|---|---|---|---|
| 0.1682 | 0.5 | 962 | 0.2292 | 184192 |
| 0.2053 | 1.0 | 1924 | 0.2663 | 367320 |
| 0.3625 | 1.5 | 2886 | 0.2419 | 550840 |
| 0.3409 | 2.0 | 3848 | 0.1891 | 734600 |
| 0.242 | 2.5 | 4810 | 0.2103 | 918600 |
| 0.4443 | 3.0 | 5772 | 0.2274 | 1101216 |
| 0.2546 | 3.5 | 6734 | 0.1962 | 1284288 |
| 0.3322 | 4.0 | 7696 | 0.2311 | 1468552 |
| 0.1172 | 4.5 | 8658 | 0.2418 | 1651528 |
| 0.0905 | 5.0 | 9620 | 0.2520 | 1834816 |
| 0.2706 | 5.5 | 10582 | 0.2517 | 2018016 |
| 0.1555 | 6.0 | 11544 | 0.2436 | 2201584 |
| 0.2961 | 6.5 | 12506 | 0.2524 | 2385200 |
| 0.0537 | 7.0 | 13468 | 0.2558 | 2568288 |
| 0.2939 | 7.5 | 14430 | 0.2553 | 2751584 |
| 0.1063 | 8.0 | 15392 | 0.2559 | 2935056 |
| 0.1724 | 8.5 | 16354 | 0.2551 | 3118000 |
| 0.0641 | 9.0 | 17316 | 0.2560 | 3301760 |
| 0.05 | 9.5 | 18278 | 0.2536 | 3485344 |
| 0.4162 | 10.0 | 19240 | 0.2559 | 3669168 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1