BERTicSENTNEG4

This model is a fine-tuned version of Tanor/BERTicSENTNEG4 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0401
• F1: 0.6667

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	0.0288	0.7317
No log	1.9895	95	0.0265	0.7619
No log	2.9948	143	0.0327	0.7727
No log	4.0	191	0.0333	0.7111
No log	4.9843	238	0.0401	0.6667

Framework versions

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