update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-large-xls-r-300m-pa-in
+  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. -->
+
+# wav2vec2-large-xls-r-300m-pa-in
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2548
+- Wer: 0.5677
+
+## 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_ratio: 0.12
+- num_epochs: 120
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 6.4804        | 16.65  | 400  | 1.8461          | 1.0    |
+| 0.474         | 33.33  | 800  | 1.1018          | 0.6624 |
+| 0.1389        | 49.98  | 1200 | 1.1918          | 0.6103 |
+| 0.0919        | 66.65  | 1600 | 1.1889          | 0.6058 |
+| 0.0657        | 83.33  | 2000 | 1.2266          | 0.5931 |
+| 0.0479        | 99.98  | 2400 | 1.2512          | 0.5902 |
+| 0.0355        | 116.65 | 2800 | 1.2548          | 0.5677 |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.0
+- Tokenizers 0.10.3