HybridModelScratch_2

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.9696
• Accuracy: 0.3206

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: 0.001
• train_batch_size: 64
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 150
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
17.8605	0.5	500	4.3490	0.2816
16.0566	1.0	1000	3.9696	0.3206

Framework versions

• Transformers 4.56.0
• Pytorch 2.8.0+cu129
• Datasets 5.0.0
• Tokenizers 0.22.0