BERTovoSENTPOS2

This model is a fine-tuned version of Tanor/BERTicovoSENTPOS2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0573
• F1: 0.4706

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	0.99	47	0.0541	0.0952
No log	2.0	95	0.0451	0.5294
No log	2.99	142	0.0464	0.4706
No log	4.0	190	0.0570	0.5
No log	4.99	237	0.0573	0.4706

Framework versions

• Transformers 4.31.0
• Pytorch 2.1.0.dev20230801
• Datasets 2.14.2
• Tokenizers 0.13.3