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config-1 – AI Model by Hemantrao | AlphaNeural AI
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config-1
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7
finetune
apache-2.0
endpoints_compatible
us
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config-1
This model is a fine-tuned version of
DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.3415
Wer: 0.9997
Cer: 0.9398
Mer: 0.9997
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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
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_steps: 100
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
Mer
9.6228
1.0050
100
3.5667
1.0
1.0
1.0
3.4908
2.0101
200
3.4348
0.9999
0.9755
0.9999
3.3938
3.0151
300
3.3869
1.0
0.9351
1.0
3.3501
4.0201
400
3.3415
0.9997
0.9398
0.9997
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
