whisper-tiny-v2-ta_e6

G-Rahul/whisper-tiny-v2-ta_e6

whisper-tiny-v2-ta_e6 is a automatic speech recognition model from G-Rahul. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Repo size

3.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin151 MB · 99%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Apr 11, 2023
Updated: Apr 11, 2023
SHA: 734b085f

Model card

From the Hugging Face model README

whisper-tiny-v2-ta_e6

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

Loss: 0.5092
Wer: 56.9007

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: 1.5e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1589	0.11	300	1.1044	244.4552
0.8824	0.21	600	0.8741	111.4770
0.7377	0.32	900	0.6424	59.2252
0.6134	0.42	1200	0.5511	55.1090
0.5779	0.53	1500	0.5312	60.0969
0.558	0.63	1800	0.5183	58.0145
0.5654	0.74	2100	0.5092	56.9007

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Apr 11, 2023
Updated: Apr 11, 2023