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wav2vec2_tiny_ja_roman
trtd56/wav2vec2_tiny_ja_roman
wav2vec2_tiny_ja_roman is a automatic speech recognition model from trtd56. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 28, 2024
- Updated
- Jun 30, 2024
- SHA
- 2ccfa99d
Base models
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. -->
wav2vec2_tiny_ja_roman
This model is a fine-tuned version of charsiu/zh_w2v2_tiny_fc_10ms on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0716
- eval_wer: 0.5521
- eval_runtime: 26.495
- eval_samples_per_second: 9.436
- eval_steps_per_second: 1.208
- epoch: 30.0
- step: 4455
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 742
- num_epochs: 50
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Jun 28, 2024
- Updated
- Jun 30, 2024