myTinyBertSST2Distilled

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4454
• Accuracy: 0.8028

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: 1e-05
• train_batch_size: 256
• eval_batch_size: 256
• seed: 33
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3503	1.0	264	0.4493	0.7982
0.3463	2.0	528	0.4454	0.8028

Framework versions

• Transformers 4.41.0
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1