M4-eval

This model is a fine-tuned version of raminass/scotus-v10 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7816
• Accuracy: 0.7932

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.791	1.0	1951	0.7816	0.7932

Framework versions

• Transformers 4.38.0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.15.2