funnel-transformer-xlarge_cls_CR

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

• Loss: 0.2563
• Accuracy: 0.9388

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: 4e-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: cosine
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	213	0.3813	0.9016
No log	2.0	426	0.5227	0.8564
0.3933	3.0	639	0.2958	0.9176
0.3933	4.0	852	0.2600	0.9415
0.1561	5.0	1065	0.2563	0.9388

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1