|
|
--- |
|
|
library_name: peft |
|
|
license: llama3 |
|
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
|
tags: |
|
|
- llama-factory |
|
|
- lntuning |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: train_cb_1757340170 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# train_cb_1757340170 |
|
|
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the cb dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0902 |
|
|
- Num Input Tokens Seen: 361992 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
|
|
| 1.0002 | 0.5088 | 29 | 0.7479 | 18048 | |
|
|
| 0.277 | 1.0175 | 58 | 0.1704 | 36928 | |
|
|
| 0.091 | 1.5263 | 87 | 0.1233 | 54176 | |
|
|
| 0.3287 | 2.0351 | 116 | 0.1255 | 73136 | |
|
|
| 0.1758 | 2.5439 | 145 | 0.1202 | 91216 | |
|
|
| 0.076 | 3.0526 | 174 | 0.1193 | 110696 | |
|
|
| 0.1815 | 3.5614 | 203 | 0.1115 | 129448 | |
|
|
| 0.1655 | 4.0702 | 232 | 0.1046 | 147176 | |
|
|
| 0.2647 | 4.5789 | 261 | 0.0995 | 164424 | |
|
|
| 0.0395 | 5.0877 | 290 | 0.1002 | 183416 | |
|
|
| 0.3311 | 5.5965 | 319 | 0.0946 | 203256 | |
|
|
| 0.0178 | 6.1053 | 348 | 0.0960 | 220912 | |
|
|
| 0.0569 | 6.6140 | 377 | 0.0902 | 240336 | |
|
|
| 0.1175 | 7.1228 | 406 | 0.0930 | 257848 | |
|
|
| 0.069 | 7.6316 | 435 | 0.0944 | 276824 | |
|
|
| 0.1596 | 8.1404 | 464 | 0.0930 | 294504 | |
|
|
| 0.0465 | 8.6491 | 493 | 0.0926 | 313576 | |
|
|
| 0.0086 | 9.1579 | 522 | 0.0932 | 332256 | |
|
|
| 0.3315 | 9.6667 | 551 | 0.0926 | 350336 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
