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mms-1b-tamil-6k – AI Model by Kavin1701 | AlphaNeural AI
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mms-1b-tamil-6k
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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mms-1b-tamil-6k
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2292
Wer: 0.3725
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4606
1.0
400
0.2479
0.3811
0.6277
2.0
800
0.2358
0.3738
0.4154
3.0
1200
0.2310
0.3715
0.5381
4.0
1600
0.2295
0.3727
0.4222
5.0
2000
0.2292
0.3725
Framework versions
Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
