results

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

• Loss: 0.2400
• Accuracy: 0.8996

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	28	1.3861	0.2679
No log	2.0	56	1.3857	0.2723
No log	3.0	84	1.3847	0.3304
No log	4.0	112	1.3618	0.5759
No log	5.0	140	0.8967	0.6763
No log	6.0	168	0.5932	0.7969
No log	7.0	196	0.4044	0.8638
No log	8.0	224	0.3016	0.9129
No log	9.0	252	0.3303	0.8772
No log	10.0	280	0.2400	0.8996

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2