pratyush_whisper_small_distil_libri360_enc_6_dec_4_batch_4_epoch_2_try2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7423
• Wer: 9.7882

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: 0.0005
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 256
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.8038	0.25	50	2.7934	11.8801
2.8683	0.49	100	2.8112	13.4039
2.8987	0.74	150	2.8008	11.8782
2.884	0.98	200	2.7877	11.1632
2.8539	1.23	250	2.7721	10.6549
2.8348	1.48	300	2.7557	10.3250
2.8261	1.72	350	2.7522	10.1403
2.8161	1.97	400	2.7423	9.7882

Framework versions

• Transformers 4.29.2
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.13.2