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aniket
aaniket/aniket
aniket is a automatic speech recognition model from aaniket. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 30, 2023
- Updated
- Aug 31, 2023
- SHA
- f8b4baac
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
aniket
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the timit_asr dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4216
- eval_wer: 1.0
- eval_runtime: 48.4566
- eval_samples_per_second: 33.576
- eval_steps_per_second: 4.21
- epoch: 19.86
- step: 2800
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 30, 2023
- Updated
- Aug 31, 2023