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malayalam_combined_blah
akrishnan/malayalam_combined_blah
malayalam_combined_blah is a machine learning model from akrishnan. 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-bert
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024
- SHA
- 9661bc12
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. -->
w2v2bert-test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0736
- eval_model_preparation_time: 0.0141
- eval_wer: 0.6051
- eval_runtime: 1.6517
- eval_samples_per_second: 13.319
- eval_steps_per_second: 1.816
- step: 0
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: 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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.4
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.19.1
- Type
- wav2vec2-bert
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024