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whisper-tiny_finetuned_minds14_en-US – AI Model by jaymanvirk | AlphaNeural AI
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whisper-tiny_finetuned_minds14_en-US
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny_finetuned_minds14_en-US
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6168
Wer Ortho: 0.3263
Wer: 0.3318
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0145
1.0
28
0.6196
0.3060
0.3093
0.0088
2.0
56
0.6278
0.3288
0.3306
0.007
3.0
84
0.6202
0.3307
0.3353
0.0009
4.0
112
0.6148
0.3245
0.3294
0.0006
5.0
140
0.6168
0.3263
0.3318
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
