README.md

metadata

license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: roberta-large
metrics:
  - accuracy
  - f1
model-index:
  - name: roberta-large-peft-p-tuning
    results: []

roberta-large-peft-p-tuning

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6299
• Accuracy: 0.6649
• F1: 0.7987

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: 0.001
• train_batch_size: 96
• eval_batch_size: 96
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	39	0.6309	0.6649	0.7987
No log	2.0	78	0.6299	0.6649	0.7987

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1