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DistilFT-English-1ha – AI Model by Pageee | AlphaNeural AI

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Pageee/
DistilFT-English-1ha

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automatic-speech-recognition

generated_from_trainer

librispeech_asr

endpoints_compatible

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DistilFT-English-1h

This model is a fine-tuned version of distil-small.en on the librispeech dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2630
eval_wer: 4.4661
eval_runtime: 443.0803
eval_samples_per_second: 5.516
eval_steps_per_second: 0.691
epoch: 51.2821
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: 5e-07
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: 300
training_steps: 1000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1