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wave2vec2-xlsr-Persian
Pooya-Fallah/wave2vec2-xlsr-Persian
wave2vec2-xlsr-Persian is a machine learning model from Pooya-Fallah. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- e75a00f2
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. -->
wave2vec2-xlsr-Persian
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- epoch: 2.9410
- eval_loss: 0.2426
- eval_runtime: 548.9964
- eval_samples_per_second: 16.299
- eval_steps_per_second: 2.038
- eval_wer: 0.2340
- step: 250000
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0.dev20240522
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- wav2vec2
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024