apac_5sents_QoLT_largev2_freeze

slplab/apac_5sents_QoLT_largev2_freeze

apac_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 3, 2023
Updated: Nov 3, 2023
SHA: 886317b3

Model card

From the Hugging Face model README

apac_5sents_QoLT_largev2_freeze

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: 0.0633
Wer: 13.1696

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
0.0111	5.54	100	0.0976	15.625
0.0002	11.11	200	0.1081	26.3393
0.0001	16.65	300	0.1100	35.2679
0.0001	22.22	400	0.1118	37.5
0.0001	27.76	500	0.1127	39.2857
0.0001	33.32	600	0.1130	39.7321

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 3, 2023
Updated: Nov 3, 2023