BERTicSENTNEG6

This model is a fine-tuned version of Tanor/BERTicSENTNEG6 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0559
• F1: 0.5763

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	0.0443	0.5902
No log	1.9895	95	0.0450	0.6415
No log	2.9948	143	0.0428	0.6
No log	4.0	191	0.0459	0.6122
No log	4.9843	238	0.0583	0.5846
No log	5.9895	286	0.0559	0.5763

Framework versions

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