roberta-base_intents_20

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

• Loss: 3.5647
• Accuracy: 0.0962

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: 32
• eval_batch_size: 32
• seed: 27
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7071	0.3030	10	3.1593	0.0769
1.9915	0.6061	20	3.2570	0.0577
1.3124	0.9091	30	3.3799	0.1154
0.7975	1.2121	40	3.5843	0.1154
0.424	1.5152	50	3.6496	0.1154
0.279	1.8182	60	3.5647	0.0962

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu124
• Datasets 2.18.0
• Tokenizers 0.21.0