update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- multilingual_librispeech
+- generated_from_trainer
+datasets:
+- multilingual_librispeech
+model-index:
+- name: wav2vec2-300m-mls-german-ft
+  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. -->
+
+# wav2vec2-300m-mls-german-ft
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3893
+- Wer: 0.2695
+
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.265         | 7.25  | 500  | 0.4818          | 0.4440 |
+| 0.0522        | 14.49 | 1000 | 0.3902          | 0.2725 |
+
+
+### Framework versions
+
+- Transformers 4.13.0.dev0
+- Pytorch 1.10.0
+- Datasets 1.15.2.dev0
+- Tokenizers 0.10.3