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pd_warmup250
Priyanship/pd_warmup250
pd_warmup250 is a machine learning model from Priyanship. 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 19, 2024
- Updated
- Aug 20, 2024
- SHA
- eb9e5c6f
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. -->
pd_warmup250
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 21.9274
- eval_model_preparation_time: 0.0045
- eval_cer: 2.6007
- eval_wer: 1.0
- eval_runtime: 168.3401
- eval_samples_per_second: 18.629
- eval_steps_per_second: 1.164
- 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 400
- 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: 250
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024