---
base_model: AmeerH/FPT-Base
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: FPT_FineTune_v1.0-adapters-v2
  results: []
---

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# FPT_FineTune_v1.0-adapters-v2

This model is a fine-tuned version of [AmeerH/FPT-Base](https://huggingface.co/AmeerH/FPT-Base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9203

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9156        | 0.5030 | 500  | 0.9203          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1