eval_cache_hinglish
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3408
- eval_model_preparation_time: 0.0045
- eval_cer: 0.2775
- eval_wer: 0.4149
- eval_runtime: 141.9071
- eval_samples_per_second: 18.068
- eval_steps_per_second: 1.135
- 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: 300
- 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
