model_large_batch-smalll-emotion

This model is a fine-tuned version of lareb00/model_large_batch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6756
• Accuracy: 0.7075
• F1: 0.7061

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: 1e-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.9968	78	0.6935	0.7085	0.7067
No log	1.9936	156	0.6789	0.7075	0.7060
No log	2.9904	234	0.6756	0.7075	0.7061

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1