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my_awesome_asr_mind_model – AI Model by jadorantes2 | AlphaNeural AI
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my_awesome_asr_mind_model
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
ami
facebook/wav2vec2-base-960h
finetune
apache-2.0
model-index
endpoints_compatible
us
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my_awesome_asr_mind_model
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the ami dataset. It achieves the following results on the evaluation set:
Loss: 0.9699
Wer: 0.2440
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9924
20.0
1000
2.4484
0.2986
0.6182
40.0
2000
1.1429
0.2735
0.4255
60.0
3000
0.9063
0.2459
0.396
80.0
4000
0.9699
0.2440
Framework versions
Transformers 4.42.3
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1
