---
library_name: peft
tags:
- generated_from_trainer
base_model: daryl149/llama-2-13b-chat-hf
model-index:
- name: peft-claim-detection-training-1718016334
  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. -->

# peft-claim-detection-training-1718016334

This model is a fine-tuned version of [daryl149/llama-2-13b-chat-hf](https://huggingface.co/daryl149/llama-2-13b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7537

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6754        | 0.1953 | 25   | 1.5439          |
| 1.5234        | 0.3906 | 50   | 1.5111          |
| 1.4658        | 0.5859 | 75   | 1.4981          |
| 1.4833        | 0.7812 | 100  | 1.4938          |
| 1.5195        | 0.9766 | 125  | 1.4862          |
| 1.4119        | 1.1719 | 150  | 1.4849          |
| 1.3982        | 1.3672 | 175  | 1.4881          |
| 1.4369        | 1.5625 | 200  | 1.4929          |
| 1.427         | 1.7578 | 225  | 1.4900          |
| 1.463         | 1.9531 | 250  | 1.4858          |
| 1.3686        | 2.1484 | 275  | 1.4965          |
| 1.2803        | 2.3438 | 300  | 1.5105          |
| 1.3467        | 2.5391 | 325  | 1.5215          |
| 1.3511        | 2.7344 | 350  | 1.5079          |
| 1.3662        | 2.9297 | 375  | 1.5067          |
| 1.2864        | 3.125  | 400  | 1.5295          |
| 1.1724        | 3.3203 | 425  | 1.5497          |
| 1.1846        | 3.5156 | 450  | 1.6101          |
| 1.2683        | 3.7109 | 475  | 1.5444          |
| 1.2701        | 3.9062 | 500  | 1.5333          |
| 1.1946        | 4.1016 | 525  | 1.5805          |
| 0.9993        | 4.2969 | 550  | 1.6382          |
| 1.1423        | 4.4922 | 575  | 1.6158          |
| 1.1734        | 4.6875 | 600  | 1.5982          |
| 1.107         | 4.8828 | 625  | 1.5630          |
| 1.0531        | 5.0781 | 650  | 1.6544          |
| 0.9469        | 5.2734 | 675  | 1.7376          |
| 1.0501        | 5.4688 | 700  | 1.6753          |
| 1.0237        | 5.6641 | 725  | 1.6146          |
| 0.9976        | 5.8594 | 750  | 1.6472          |
| 0.8801        | 6.0547 | 775  | 1.7507          |
| 0.8045        | 6.25   | 800  | 1.7875          |
| 0.9957        | 6.4453 | 825  | 1.6558          |
| 0.961         | 6.6406 | 850  | 1.7039          |
| 0.8889        | 6.8359 | 875  | 1.7554          |
| 0.8674        | 7.0312 | 900  | 1.6885          |
| 0.8393        | 7.2266 | 925  | 1.7469          |
| 0.8802        | 7.4219 | 950  | 1.7618          |
| 0.8384        | 7.6172 | 975  | 1.7559          |
| 0.8324        | 7.8125 | 1000 | 1.7537          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1