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_multirc_123_1764974431
results: []
train_multirc_123_1764974431
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the multirc dataset. It achieves the following results on the evaluation set:
- Loss: 0.5540
- Num Input Tokens Seen: 264547520
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.1392 | 1.0 | 6130 | 0.1364 | 13255424 |
| 0.0776 | 2.0 | 12260 | 0.1306 | 26471216 |
| 0.0857 | 3.0 | 18390 | 0.1191 | 39694112 |
| 0.024 | 4.0 | 24520 | 0.1130 | 52929744 |
| 0.0926 | 5.0 | 30650 | 0.1113 | 66152480 |
| 0.0768 | 6.0 | 36780 | 0.1107 | 79389648 |
| 0.0824 | 7.0 | 42910 | 0.1156 | 92621824 |
| 0.0343 | 8.0 | 49040 | 0.1119 | 105830544 |
| 0.0227 | 9.0 | 55170 | 0.1227 | 119047920 |
| 0.0474 | 10.0 | 61300 | 0.1268 | 132272272 |
| 0.0968 | 11.0 | 67430 | 0.1396 | 145487264 |
| 0.1417 | 12.0 | 73560 | 0.1472 | 158737232 |
| 0.0084 | 13.0 | 79690 | 0.1756 | 171979232 |
| 0.0019 | 14.0 | 85820 | 0.1946 | 185199728 |
| 0.0014 | 15.0 | 91950 | 0.2322 | 198426688 |
| 0.0046 | 16.0 | 98080 | 0.2587 | 211640976 |
| 0.0021 | 17.0 | 104210 | 0.2946 | 224870720 |
| 0.0003 | 18.0 | 110340 | 0.3278 | 238102672 |
| 0.0007 | 19.0 | 116470 | 0.3455 | 251320768 |
| 0.0004 | 20.0 | 122600 | 0.3436 | 264547520 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1