clasif-muchocine-roberta

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

• Loss: 1.5146
• Accuracy: 0.3394

Model description

This model has been made by someone who does NOT understand coding.

Intended uses & limitations

It was made during training, it should not be used.

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	388	1.5140	0.3394
1.5524	2.0	776	1.5132	0.3394
1.5336	3.0	1164	1.5146	0.3394

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2