BERTicSENTPOS6

This model is a fine-tuned version of Tanor/BERTicSENTPOS6 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0839
• F1: 0.375

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	0.9843	47	0.0589	0.4068
No log	1.9895	95	0.0592	0.3590
No log	2.9948	143	0.0663	0.4783
No log	4.0	191	0.0839	0.375

Framework versions

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