---
license: mit
base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hindi_beekeeping_wav2vec2-3
  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_beekeeping_wav2vec2-3

This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3192
- Wer: 0.3523

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.3632        | 5.56  | 25   | 1.6683          | 0.5591 |
| 0.4727        | 11.11 | 50   | 1.4523          | 0.4156 |
| 0.3069        | 16.67 | 75   | 1.6365          | 0.3987 |
| 0.1225        | 22.22 | 100  | 1.4288          | 0.4367 |
| 0.0865        | 27.78 | 125  | 1.4239          | 0.4051 |
| 0.0496        | 33.33 | 150  | 1.3113          | 0.3819 |
| 0.0436        | 38.89 | 175  | 1.3556          | 0.3776 |
| 0.0337        | 44.44 | 200  | 1.2882          | 0.3586 |
| 0.0275        | 50.0  | 225  | 1.4075          | 0.3861 |
| 0.0204        | 55.56 | 250  | 1.3286          | 0.3734 |
| 0.016         | 61.11 | 275  | 1.3683          | 0.3861 |
| 0.0106        | 66.67 | 300  | 1.4088          | 0.3376 |
| 0.0096        | 72.22 | 325  | 1.3975          | 0.3565 |
| 0.0114        | 77.78 | 350  | 1.3268          | 0.3544 |
| 0.0078        | 83.33 | 375  | 1.3118          | 0.3439 |
| 0.0124        | 88.89 | 400  | 1.3192          | 0.3523 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1