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---
library_name: transformers
base_model: Harveenchadha/vakyansh-wav2vec2-nepali-nem-130
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: indic-nepali-finetune-colab-test
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. -->
# indic-nepali-finetune-colab-test
This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-nepali-nem-130](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-nepali-nem-130) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 414.3360
- 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: 0.0003
- 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: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:---:|
| 5480.8856 | 14.0351 | 400 | 417.9039 | 1.0 |
| 944.0373 | 28.0702 | 800 | 414.3360 | 1.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.19.1
|