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--- |
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library_name: transformers |
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base_model: Harveenchadha/wav2vec2-pretrained-clsril-23-10k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: indic-nepali-large-large-colab |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# indic-nepali-large-large-colab |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7848 |
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- Wer: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 16 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:---:| |
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| 11.7001 | 0.9479 | 400 | 3.9168 | 1.0 | |
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| 3.8147 | 1.8957 | 800 | 3.8061 | 1.0 | |
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| 3.7988 | 2.8436 | 1200 | 3.8261 | 1.0 | |
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| 3.8006 | 3.7915 | 1600 | 3.7865 | 1.0 | |
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| 3.8082 | 4.7393 | 2000 | 3.8160 | 1.0 | |
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| 3.7948 | 5.6872 | 2400 | 3.7880 | 1.0 | |
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| 3.7931 | 6.6351 | 2800 | 3.7908 | 1.0 | |
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| 3.79 | 7.5829 | 3200 | 3.7990 | 1.0 | |
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| 3.7937 | 8.5308 | 3600 | 3.7849 | 1.0 | |
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| 3.7837 | 9.4787 | 4000 | 3.7994 | 1.0 | |
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| 3.7829 | 10.4265 | 4400 | 3.7841 | 1.0 | |
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| 3.781 | 11.3744 | 4800 | 3.7927 | 1.0 | |
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| 3.777 | 12.3223 | 5200 | 3.7849 | 1.0 | |
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| 3.7819 | 13.2701 | 5600 | 3.7875 | 1.0 | |
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| 3.7697 | 14.2180 | 6000 | 3.7855 | 1.0 | |
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| 3.7794 | 15.1659 | 6400 | 3.7848 | 1.0 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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