BERTicSENTNEG2

This model is a fine-tuned version of Tanor/BERTicSENTNEG2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0572
• F1: 0.625

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	0.0467	0.5263
No log	2.0	95	0.0482	0.6038
No log	2.9895	142	0.0442	0.7143
No log	4.0	190	0.0567	0.6275
No log	4.9895	237	0.0573	0.6
No log	6.0	285	0.0572	0.625

Framework versions

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