update model card README.md

README.md

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+---
+language:
+- hi
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_7_0
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: ''
+  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. -->
+
+# 
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5878
+- Wer: 0.3419
+
+## 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: 7.5e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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: 2000
+- num_epochs: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 1.9859        | 2.72  | 400   | 1.1663          | 0.7948 |
+| 1.2969        | 5.44  | 800   | 0.7725          | 0.6562 |
+| 1.1954        | 8.16  | 1200  | 0.5940          | 0.4904 |
+| 1.164         | 10.88 | 1600  | 0.5338          | 0.4316 |
+| 1.1464        | 13.6  | 2000  | 0.5432          | 0.4226 |
+| 1.1553        | 16.33 | 2400  | 0.5471          | 0.4260 |
+| 1.0985        | 19.05 | 2800  | 0.5290          | 0.4076 |
+| 1.0421        | 21.77 | 3200  | 0.5672          | 0.4181 |
+| 0.9831        | 24.49 | 3600  | 0.5741          | 0.4141 |
+| 0.9827        | 27.21 | 4000  | 0.5754          | 0.4179 |
+| 0.9669        | 29.93 | 4400  | 0.5310          | 0.3889 |
+| 0.9496        | 32.65 | 4800  | 0.5649          | 0.4062 |
+| 0.9112        | 35.37 | 5200  | 0.5738          | 0.3926 |
+| 0.8838        | 38.1  | 5600  | 0.5232          | 0.3768 |
+| 0.8666        | 40.81 | 6000  | 0.5510          | 0.3852 |
+| 0.8366        | 43.54 | 6400  | 0.5436          | 0.3837 |
+| 0.7957        | 46.26 | 6800  | 0.5337          | 0.3775 |
+| 0.7834        | 48.98 | 7200  | 0.5611          | 0.3844 |
+| 0.7685        | 51.7  | 7600  | 0.5710          | 0.4008 |
+| 0.7431        | 54.42 | 8000  | 0.5636          | 0.3726 |
+| 0.7353        | 57.14 | 8400  | 0.5937          | 0.3836 |
+| 0.7001        | 59.86 | 8800  | 0.5815          | 0.3858 |
+| 0.6799        | 62.58 | 9200  | 0.5862          | 0.3696 |
+| 0.6459        | 65.31 | 9600  | 0.6181          | 0.3762 |
+| 0.6121        | 68.03 | 10000 | 0.5637          | 0.3590 |
+| 0.5942        | 70.75 | 10400 | 0.6374          | 0.3882 |
+| 0.5769        | 73.47 | 10800 | 0.6015          | 0.3640 |
+| 0.5689        | 76.19 | 11200 | 0.5669          | 0.3508 |
+| 0.5461        | 78.91 | 11600 | 0.5967          | 0.3621 |
+| 0.5286        | 81.63 | 12000 | 0.5840          | 0.3605 |
+| 0.5057        | 84.35 | 12400 | 0.5848          | 0.3489 |
+| 0.482         | 87.07 | 12800 | 0.5860          | 0.3488 |
+| 0.4655        | 89.79 | 13200 | 0.5780          | 0.3453 |
+| 0.4523        | 92.52 | 13600 | 0.6150          | 0.3532 |
+| 0.4422        | 95.24 | 14000 | 0.5930          | 0.3452 |
+| 0.4436        | 97.96 | 14400 | 0.5867          | 0.3428 |
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.1+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.11.0