finetune_teacher_clean_mozilla_100_epochs_try2

rohitp1/finetune_teacher_clean_mozilla_100_epochs_try2

finetune_teacher_clean_mozilla_100_epochs_try2 is a automatic speech recognition model from rohitp1. Use it when you need speech turned into text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Mar 8, 2023
Updated: Mar 15, 2023
SHA: 252d3a5c

Model card

From the Hugging Face model README

finetune_teacher_clean_mozilla_100_epochs_try2

This model is a fine-tuned version of finetune_teacher_clean_mozilla_200_epochs on the None dataset. It achieves the following results on the evaluation set:

Loss: 55.2160
Wer: 0.2810

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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
42.7428	29.41	1000	48.0854	0.3160
45.9744	58.82	2000	50.4082	0.2936
30.0353	88.23	3000	55.2160	0.2810

Framework versions

Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Mar 8, 2023
Updated: Mar 15, 2023