results

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

• Loss: 2.7225
• Accuracy: 0.6416

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: 0.0001
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.6926	0.5587	100	2.4932	0.5508
3.4971	1.1173	200	2.1649	0.5738
2.7013	1.6760	300	2.1019	0.5801
2.0768	2.2346	400	2.4828	0.6241
1.4108	2.7933	500	2.3521	0.6471
1.0545	3.3520	600	2.5568	0.6115
0.707	3.9106	700	2.5198	0.6304
0.4998	4.4693	800	2.8322	0.6314

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1