training_45k_V2

This model is a fine-tuned version of Sameen53/training_45k on the None dataset. It achieves the following results on the evaluation set:

• Loss: inf
• Wer: 0.1673

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-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 7
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2583	1.26	1500	inf	0.1660
0.2522	2.51	3000	inf	0.1625
0.2427	3.77	4500	inf	0.1665
0.2333	5.02	6000	inf	0.1629
0.2692	6.28	7500	inf	0.1673

Framework versions

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