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asr2
GodsonNtungi/asr2
asr2 is a automatic speech recognition model from GodsonNtungi. 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
- Nov 1, 2023
- Updated
- Nov 7, 2023
- SHA
- 743e75d9
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. -->
asr2
This model is a fine-tuned version of GodsonNtungi/asr2 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2567
- eval_wer: 0.2528
- eval_runtime: 6.694
- eval_samples_per_second: 20.914
- eval_steps_per_second: 2.689
- epoch: 3.23
- step: 700
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1500
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.1
- Datasets 1.18.3
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 1, 2023
- Updated
- Nov 7, 2023