fineturning

This model is a fine-tuned version of Aviral2412/mini_model on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7515
• Wer: 1.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4377	21.74	500	2.7515	1.0

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 1.18.3
• Tokenizers 0.15.2