Jerteh355SENTPOS2

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: 0.0611
• F1: 0.6842

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	0.0469	0.24
No log	2.0	95	0.0639	0.4138
No log	2.9895	142	0.0557	0.6111
No log	4.0	190	0.0611	0.6842

Framework versions

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