BERTicSENTPOS2

This model is a fine-tuned version of Tanor/BERTicSENTPOS2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0528
• F1: 0.5405

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: 64
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 32

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	0.9895	47	0.0432	0.4848
No log	2.0	95	0.0475	0.5366
No log	2.9895	142	0.0454	0.5625
No log	4.0	190	0.0528	0.5405

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.2
• Datasets 2.19.0
• Tokenizers 0.19.1