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wav2vec2-base-960h-fsc-v1-t_80 – AI Model by gokulsrinivasagan | AlphaNeural AI
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wav2vec2-base-960h-fsc-v1-t_80
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base-960h-fsc-v1-t_80
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7592
Accuracy: 0.2383
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: 0.0005
train_batch_size: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 192
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
121
1.7592
0.2383
No log
2.0
242
1.7599
0.2383
No log
2.9793
360
1.7603
0.2383
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
