---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
- code
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-300m-hi-kagglex
  results: []
datasets:
- mozilla-foundation/common_voice_15_0
- mozilla-foundation/common_voice_13_0
language:
- hi
library_name: transformers
pipeline_tag: automatic-speech-recognition
---


datasets:
- mozilla-foundation/common_voice_15_0
- mozilla-foundation/common_voice_13_0
language:
- hi
metrics:
- cer
- wer
library_name: transformers
pipeline_tag: automatic-speech-recognition
model-index:
  - name: whisper-small-hi-cv
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 15
          type: mozilla-foundation/common_voice_15_0
          args: hi
        metrics:
          - name: Test WER
            type: wer
            value: 13.9913
          - name: Test CER
            type: cer
            value: 5.8844

      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 13
          type: mozilla-foundation/common_voice_13_0
          args: hi
        metrics:
          - name: Test WER
            type: wer
            value: 23.3824
          - name: Test CER
            type: cer
            value: 10.5288


<!-- 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. -->

# Model Details
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on this [dataset](https://huggingface.co/SakshiRathi77/ASR_CV15_Hindi_wav_16000) .
It achieves the following results on the evaluation set:
- Loss: 0.3691
- Wer: 0.3285
- Cer: 0.0875

### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 100

### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 7.314         | 19.05 | 300  | 3.4661          | 1.0    | 1.0    |
| 2.5698        | 38.1  | 600  | 0.6577          | 0.5203 | 0.1466 |
| 0.6112        | 57.14 | 900  | 0.4048          | 0.3723 | 0.1005 |
| 0.3826        | 76.19 | 1200 | 0.3778          | 0.3386 | 0.0901 |
| 0.3168        | 95.24 | 1500 | 0.3691          | 0.3285 | 0.0875 |


### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

### SPACE
[Automatic Speech Recognization in hindi](https://huggingface.co/spaces/SakshiRathi77/SakshiRathi77-Wishper-Hi-Kagglex)