MindEase-60K-Real

This model is a fine-tuned version of azkamannan2004/MindEase-50K-Real on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
0.0	3.56	1000	0.0
0.0	7.11	2000	0.0000

Framework versions

• Transformers 4.38.2
• Pytorch 2.9.0+cu126
• Datasets 2.18.0
• Tokenizers 0.15.2