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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_cb_1754652159
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_1754652159
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: 3.8483
- Num Input Tokens Seen: 367864
## 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 12.6939 | 0.5088 | 29 | 12.1533 | 20064 |
| 11.0368 | 1.0175 | 58 | 10.8909 | 37832 |
| 10.4486 | 1.5263 | 87 | 9.3964 | 57288 |
| 7.9533 | 2.0351 | 116 | 7.9230 | 74520 |
| 7.4909 | 2.5439 | 145 | 6.9202 | 93080 |
| 6.0778 | 3.0526 | 174 | 6.1027 | 111928 |
| 6.4246 | 3.5614 | 203 | 5.5888 | 131160 |
| 5.7896 | 4.0702 | 232 | 5.2264 | 150056 |
| 4.6737 | 4.5789 | 261 | 4.9209 | 167208 |
| 4.9442 | 5.0877 | 290 | 4.6369 | 186160 |
| 4.2959 | 5.5965 | 319 | 4.4270 | 206000 |
| 4.0552 | 6.1053 | 348 | 4.2730 | 224064 |
| 4.3442 | 6.6140 | 377 | 4.1417 | 243840 |
| 3.8654 | 7.1228 | 406 | 4.0376 | 261504 |
| 4.2193 | 7.6316 | 435 | 3.9544 | 280352 |
| 3.6867 | 8.1404 | 464 | 3.9009 | 299344 |
| 3.9532 | 8.6491 | 493 | 3.8730 | 318672 |
| 4.1488 | 9.1579 | 522 | 3.8590 | 337480 |
| 4.0229 | 9.6667 | 551 | 3.8483 | 356456 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |