detect_language – AI Model by apparaomulpuriril | AlphaNeural AI

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apparaomulpuriril/
detect_language

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audio-classification

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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Whisper Medium FLEURS Language Identification

This model is a fine-tuned version of openai/whisper-medium on the FLEURS subset of the google/xtreme_s dataset. It achieves the following results on the evaluation set:

Loss: 0.8413
Accuracy: 0.8805

To reproduce this run, execute the command in run.sh.

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: 3e-05
train_batch_size: 16
eval_batch_size: 32
seed: 0
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0152	1.0	8494	0.9087	0.8431
0.0003	2.0	16988	1.0059	0.8460
0.0	3.0	25482	0.8413	0.8805

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2