update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cvbn
+model-index:
+- name: wav2vec2_murad_with_some_new_data
+  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_murad_with_some_new_data
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the cvbn dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2971
+- eval_wer: 0.2084
+- eval_runtime: 511.5492
+- eval_samples_per_second: 9.774
+- eval_steps_per_second: 0.612
+- epoch: 26.88
+- step: 33600
+
+## 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: 16
+- 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: 1000
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.11.0+cu102
+- Datasets 2.4.0
+- Tokenizers 0.12.1