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gokuls/
distil-small.en-speech-commands

Name: distil-small.en-speech-commands
Availability: InStock

tensorboard

safetensors

whisper

generated_from_trainer

speech_commands

distil-whisper/distil-small.en

finetune

mit

model-index

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distil-small.en-speech-commands

This model is a fine-tuned version of distil-whisper/distil-small.en on the speech_commands dataset. It achieves the following results on the evaluation set:

Loss: 0.9307
Accuracy: 0.8067

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1861	1.0	618	0.7743	0.8022
0.1135	2.0	1236	0.9853	0.8049
0.078	3.0	1854	0.9307	0.8067
0.038	4.0	2472	0.9989	0.8049
0.0375	5.0	3090	1.0738	0.8035
0.0462	6.0	3708	1.1601	0.8067
0.018	7.0	4326	1.5369	0.8067
0.0008	8.0	4944	1.2515	0.8067
0.0016	9.0	5562	1.3494	0.8058
0.0002	10.0	6180	1.5117	0.8053

Framework versions

Transformers 4.43.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1

gokuls/distil-small.en-speech-commands

distil-small.en-speech-commands

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokuls/
distil-small.en-speech-commands