update model card README.md

README.md

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+---
+language:
+- tt
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_7_0
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-large-xls-r-300m-tatar
+  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-tatar
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - TT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1959
+- Wer: 0.2454
+
+## 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: 7e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 4000
+- num_epochs: 50.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 1.173         | 9.66  | 4000  | 0.2920          | 0.3608 |
+| 0.9433        | 19.32 | 8000  | 0.2336          | 0.3026 |
+| 0.8552        | 28.99 | 12000 | 0.2221          | 0.2799 |
+| 0.7863        | 38.65 | 16000 | 0.1953          | 0.2479 |
+| 0.7365        | 48.31 | 20000 | 0.1968          | 0.2449 |
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.1+cu102
+- Datasets 1.18.3
+- Tokenizers 0.11.0