Prototype_training

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

• Loss: 0.3719
• Wer: 0.4626

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: 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: 1000
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3853	1.47	100	0.3719	0.4626
0.3867	2.94	200	0.3719	0.4626

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3