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vakyansh-respin-agriculture – AI Model by Neural-1Nomad | AlphaNeural AI
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vakyansh-respin-agriculture
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
Harveenchadha/vakyansh-wav2vec2-telugu-tem-100
finetune
endpoints_compatible
us
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vakyansh-respin-agriculture
This model is a fine-tuned version of
Harveenchadha/vakyansh-wav2vec2-telugu-tem-100
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3405
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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
21.7962
0.7619
400
2.6483
4.5988
1.5238
800
1.6297
3.5177
2.2857
1200
1.3405
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2