--- library_name: transformers base_model: Harveenchadha/wav2vec2-pretrained-clsril-23-10k tags: - generated_from_trainer metrics: - wer model-index: - name: indic-nepali-large-large-colab results: [] --- # indic-nepali-large-large-colab This model is a fine-tuned version of [Harveenchadha/wav2vec2-pretrained-clsril-23-10k](https://huggingface.co/Harveenchadha/wav2vec2-pretrained-clsril-23-10k) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.7848 - Wer: 1.0 ## 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: 500 - num_epochs: 16 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-------:|:----:|:---------------:|:---:| | 11.7001 | 0.9479 | 400 | 3.9168 | 1.0 | | 3.8147 | 1.8957 | 800 | 3.8061 | 1.0 | | 3.7988 | 2.8436 | 1200 | 3.8261 | 1.0 | | 3.8006 | 3.7915 | 1600 | 3.7865 | 1.0 | | 3.8082 | 4.7393 | 2000 | 3.8160 | 1.0 | | 3.7948 | 5.6872 | 2400 | 3.7880 | 1.0 | | 3.7931 | 6.6351 | 2800 | 3.7908 | 1.0 | | 3.79 | 7.5829 | 3200 | 3.7990 | 1.0 | | 3.7937 | 8.5308 | 3600 | 3.7849 | 1.0 | | 3.7837 | 9.4787 | 4000 | 3.7994 | 1.0 | | 3.7829 | 10.4265 | 4400 | 3.7841 | 1.0 | | 3.781 | 11.3744 | 4800 | 3.7927 | 1.0 | | 3.777 | 12.3223 | 5200 | 3.7849 | 1.0 | | 3.7819 | 13.2701 | 5600 | 3.7875 | 1.0 | | 3.7697 | 14.2180 | 6000 | 3.7855 | 1.0 | | 3.7794 | 15.1659 | 6400 | 3.7848 | 1.0 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.19.1