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---
license: apache-2.0
base_model: Harveenchadha/hindi_base_wav2vec2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hindi_wav2vec2_optimized_2
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. -->
# hindi_wav2vec2_optimized_2
This model is a fine-tuned version of [Harveenchadha/hindi_base_wav2vec2](https://huggingface.co/Harveenchadha/hindi_base_wav2vec2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6089
- Wer: 0.1899
## 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: 10
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2406 | 5.56 | 25 | 0.5544 | 0.3418 |
| 0.0725 | 11.11 | 50 | 0.4668 | 0.2426 |
| 0.0437 | 16.67 | 75 | 0.6185 | 0.2405 |
| 0.0344 | 22.22 | 100 | 0.5553 | 0.2257 |
| 0.0311 | 27.78 | 125 | 0.5775 | 0.2300 |
| 0.0287 | 33.33 | 150 | 0.7120 | 0.2110 |
| 0.0242 | 38.89 | 175 | 0.7068 | 0.2152 |
| 0.0175 | 44.44 | 200 | 0.5265 | 0.2384 |
| 0.0128 | 50.0 | 225 | 0.5554 | 0.2300 |
| 0.0114 | 55.56 | 250 | 0.6330 | 0.2300 |
| 0.0105 | 61.11 | 275 | 0.6020 | 0.2194 |
| 0.0052 | 66.67 | 300 | 0.6073 | 0.2152 |
| 0.0041 | 72.22 | 325 | 0.5865 | 0.1941 |
| 0.0074 | 77.78 | 350 | 0.6138 | 0.1983 |
| 0.0033 | 83.33 | 375 | 0.6106 | 0.1920 |
| 0.0074 | 88.89 | 400 | 0.6089 | 0.1899 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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