---
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