5sents_QoLT_largev2_freeze

slplab/5sents_QoLT_largev2_freeze

5sents_QoLT_largev2_freeze is a automatic speech recognition model from slplab. 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. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Nov 2, 2023
Updated: Nov 2, 2023
SHA: e6e08c28

Model card

From the Hugging Face model README

QoLT_largev2_freeze_2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0155
Wer: 12.6984

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0003	49.89	100	0.0081	14.2857
0.0	99.89	200	0.0040	21.6931
0.0	149.89	300	0.0036	21.6931
0.0	199.89	400	0.0036	26.9841
0.0	249.89	500	0.0037	27.5132
0.0	299.89	600	0.0036	30.6878

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Nov 2, 2023
Updated: Nov 2, 2023