HybridModelScratch_

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

• Loss: 5.2920
• Accuracy: 0.2203

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: 0.0001
• 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
32.0977	0.1	100	7.3025	0.1141
26.0238	0.2	200	6.3336	0.1618
24.2338	0.3	300	5.9560	0.1830
23.2729	0.4	400	5.7180	0.1967
22.5651	0.5	500	5.5544	0.2059
22.0473	0.6	600	5.4359	0.2119
21.7227	0.7	700	5.3620	0.2162
21.4768	0.8	800	5.3150	0.2189
21.3548	0.9	900	5.2958	0.2200
21.3675	1.0	1000	5.2920	0.2203

Framework versions

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