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_42_1762240404
results: []
train_multirc_42_1762240404
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: 0.2360
- Num Input Tokens Seen: 264840880
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.1799 | 1.0 | 6130 | 0.1399 | 13256608 |
| 0.0262 | 2.0 | 12260 | 0.1308 | 26510112 |
| 0.0511 | 3.0 | 18390 | 0.1234 | 39755376 |
| 0.2173 | 4.0 | 24520 | 0.1261 | 53010912 |
| 0.1424 | 5.0 | 30650 | 0.1210 | 66248576 |
| 0.0721 | 6.0 | 36780 | 0.1252 | 79495984 |
| 0.1325 | 7.0 | 42910 | 0.1301 | 92713360 |
| 0.0358 | 8.0 | 49040 | 0.1273 | 105934480 |
| 0.2284 | 9.0 | 55170 | 0.1313 | 119164864 |
| 0.0154 | 10.0 | 61300 | 0.1411 | 132392640 |
| 0.2095 | 11.0 | 67430 | 0.1629 | 145641920 |
| 0.0057 | 12.0 | 73560 | 0.1854 | 158902432 |
| 0.0084 | 13.0 | 79690 | 0.1977 | 172144032 |
| 0.2741 | 14.0 | 85820 | 0.2317 | 185378480 |
| 0.1494 | 15.0 | 91950 | 0.2368 | 198621168 |
| 0.0007 | 16.0 | 98080 | 0.2623 | 211855376 |
| 0.0111 | 17.0 | 104210 | 0.2967 | 225105296 |
| 0.0617 | 18.0 | 110340 | 0.3215 | 238352272 |
| 0.0019 | 19.0 | 116470 | 0.3441 | 251594480 |
| 0.0014 | 20.0 | 122600 | 0.3499 | 264840880 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1