metadata
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: hindi
results: []
hindi
This model was trained from scratch on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8079
- eval_wer: 0.4951
- eval_runtime: 225.6871
- eval_samples_per_second: 12.823
- eval_steps_per_second: 1.604
- epoch: 1.71
- step: 1400
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2