Jerteh355SENTPOS4

This model is a fine-tuned version of jerteh/Jerteh-355 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0761
• F1: 0.3889

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	0.0492	0.24
No log	1.9895	95	0.0440	0.5143
No log	2.9948	143	0.0577	0.4571
No log	4.0	191	0.0611	0.4737
No log	4.9843	238	0.0761	0.3889

Framework versions

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