eval_hinglish_cache

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5929
• eval_model_preparation_time: 0.0054
• eval_cer: 0.3161
• eval_wer: 0.4992
• eval_runtime: 138.4333
• eval_samples_per_second: 18.522
• eval_steps_per_second: 1.163
• 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