class_stand_model

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.6650

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: 5e-06
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_HF 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: 100
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9748	29	2.5157
2.5054	1.9916	59	2.4631
2.5054	2.9748	88	2.4333
2.2607	3.9916	118	2.4291
2.2607	4.9748	147	2.4790
1.8979	5.9916	177	2.5425
1.5637	6.9748	206	2.6650

Framework versions

• Transformers 4.46.1
• Pytorch 2.3.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1