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output – AI Model by rishi70612 | AlphaNeural AI

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rishi70612/
output

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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output

This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3455
eval_cer: 0.0906
eval_runtime: 429.4451
eval_samples_per_second: 6.876
eval_steps_per_second: 0.862
epoch: 0.3386
step: 1000

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: 0.001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 4
num_epochs: 1000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1