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FPT_FineTune_v1.0-adapters-v2

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

FPT_FineTune_v1.0-adapters-v2

This model is a fine-tuned version of 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