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---
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 |