metadata

license: mit
base_model: FacebookAI/roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: HomophobicClassfication_roberta-large_fineTuned_model2
    results: []

HomophobicClassfication_roberta-large_fineTuned_model2

This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1747
Accuracy: 0.6692

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: 2e-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
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	373	1.3208	0.7594
0.2681	2.0	746	1.7243	0.7567
0.0302	3.0	1119	3.1075	0.6654
0.0302	4.0	1492	3.1747	0.6692

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2