my_model

This model is a fine-tuned version of PartAI/TookaBERT-Base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9495
• Precision: 0.5098
• Recall: 0.4866
• F1: 0.4979
• Accuracy: 0.8050

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: 2
• eval_batch_size: 2
• 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	Precision	Recall	F1	Accuracy
No log	1.0	10	1.4199	0.3919	0.3102	0.3463	0.7206
No log	2.0	20	1.2065	0.4497	0.3824	0.4133	0.7573
No log	3.0	30	1.0512	0.4792	0.4305	0.4535	0.7759
No log	4.0	40	0.9780	0.5056	0.4840	0.4945	0.8022
No log	5.0	50	0.9495	0.5098	0.4866	0.4979	0.8050

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1