---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_cb_1757340265
  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_1757340265

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: 0.1202
- Num Input Tokens Seen: 359824

## 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: 101112
- 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.7269        | 0.5088 | 29   | 0.7703          | 19872             |
| 0.2065        | 1.0175 | 58   | 0.1823          | 36432             |
| 0.1101        | 1.5263 | 87   | 0.1472          | 53680             |
| 0.1284        | 2.0351 | 116  | 0.1234          | 72160             |
| 0.0319        | 2.5439 | 145  | 0.1202          | 91904             |
| 0.4179        | 3.0526 | 174  | 0.1394          | 108856            |
| 0.21          | 3.5614 | 203  | 0.1364          | 128056            |
| 0.0244        | 4.0702 | 232  | 0.1916          | 146952            |
| 0.1028        | 4.5789 | 261  | 0.1853          | 165128            |
| 0.0302        | 5.0877 | 290  | 0.2104          | 183224            |
| 0.0024        | 5.5965 | 319  | 0.1862          | 202424            |
| 0.0953        | 6.1053 | 348  | 0.2177          | 220000            |
| 0.0689        | 6.6140 | 377  | 0.2197          | 238272            |
| 0.2106        | 7.1228 | 406  | 0.2411          | 255984            |
| 0.006         | 7.6316 | 435  | 0.2398          | 275536            |
| 0.0119        | 8.1404 | 464  | 0.2447          | 293296            |
| 0.0882        | 8.6491 | 493  | 0.2382          | 312304            |
| 0.0044        | 9.1579 | 522  | 0.2459          | 329216            |
| 0.0294        | 9.6667 | 551  | 0.2478          | 346944            |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1