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hubert-large-ll60k-finetuned-ie – AI Model by tarasabkar | AlphaNeural AI
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hubert-large-ll60k-finetuned-ie
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transformers
safetensors
hubert
audio-classification
generated_from_trainer
facebook/hubert-large-ll60k
finetune
apache-2.0
endpoints_compatible
us
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hubert-large-ll60k-finetuned-ie
This model is a fine-tuned version of
facebook/hubert-large-ll60k
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.1222
eval_accuracy: 0.5512
eval_runtime: 102.1547
eval_samples_per_second: 12.148
eval_steps_per_second: 1.527
epoch: 11.2
step: 1142
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
