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_rte_1754502820
results: []
train_rte_1754502820
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the rte dataset. It achieves the following results on the evaluation set:
- Loss: 0.1195
- Num Input Tokens Seen: 3481336
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 |
|---|---|---|---|---|
| 0.2025 | 0.5009 | 281 | 0.1984 | 176032 |
| 0.1763 | 1.0018 | 562 | 0.1349 | 349200 |
| 0.0961 | 1.5027 | 843 | 0.1245 | 524208 |
| 0.1243 | 2.0036 | 1124 | 0.1514 | 699264 |
| 0.0632 | 2.5045 | 1405 | 0.1449 | 873600 |
| 0.0335 | 3.0053 | 1686 | 0.1411 | 1048184 |
| 0.098 | 3.5062 | 1967 | 0.1195 | 1223864 |
| 0.0022 | 4.0071 | 2248 | 0.1401 | 1397624 |
| 0.0106 | 4.5080 | 2529 | 0.1345 | 1570936 |
| 0.077 | 5.0089 | 2810 | 0.1460 | 1746384 |
| 0.0712 | 5.5098 | 3091 | 0.1524 | 1922384 |
| 0.0046 | 6.0107 | 3372 | 0.1515 | 2092320 |
| 0.0674 | 6.5116 | 3653 | 0.1517 | 2267520 |
| 0.0127 | 7.0125 | 3934 | 0.1563 | 2441688 |
| 0.0054 | 7.5134 | 4215 | 0.1573 | 2614936 |
| 0.0794 | 8.0143 | 4496 | 0.1566 | 2790832 |
| 0.0063 | 8.5152 | 4777 | 0.1583 | 2963888 |
| 0.0007 | 9.0160 | 5058 | 0.1581 | 3137352 |
| 0.0782 | 9.5169 | 5339 | 0.1591 | 3312648 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1