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---
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
language:
- hi
library_name: transformers
pipeline_tag: automatic-speech-recognition
---
<!-- 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) |