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---
license: apache-2.0
base_model: Strange18/wav2vec2-nepali-asr
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-nepali-asr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/prashant-bista-18-thapathali-campus/Created%20Dataset%20ASR/runs/s8f6s4q9)
# wav2vec2-nepali-asr
This model is a fine-tuned version of [Strange18/wav2vec2-nepali-asr](https://huggingface.co/Strange18/wav2vec2-nepali-asr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3957
- Wer: 0.3705
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 50
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.7578 | 1.5464 | 75 | 0.5105 | 0.4879 |
| 0.6844 | 3.0928 | 150 | 0.4736 | 0.4575 |
| 0.6367 | 4.6392 | 225 | 0.4586 | 0.4291 |
| 0.5977 | 6.1856 | 300 | 0.4387 | 0.4170 |
| 0.5714 | 7.7320 | 375 | 0.4350 | 0.4170 |
| 0.5815 | 9.2784 | 450 | 0.4255 | 0.4109 |
| 0.5629 | 10.8247 | 525 | 0.4260 | 0.4049 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
|