update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- evanarlian/common_voice_11_0_id_filtered
+metrics:
+- wer
+model-index:
+- name: wav2vec2-xls-r-113m-id
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: evanarlian/common_voice_11_0_id_filtered
+      type: evanarlian/common_voice_11_0_id_filtered
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
+---
+
+<!-- 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-xls-r-113m-id
+
+This model is a fine-tuned version of [evanarlian/distil-wav2vec2-xls-r-113m-id](https://huggingface.co/evanarlian/distil-wav2vec2-xls-r-113m-id) on the evanarlian/common_voice_11_0_id_filtered dataset.
+It achieves the following results on the evaluation set:
+- Loss: 18.6052
+- Wer: 1.0
+
+## 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: 5e-05
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.3
+- num_epochs: 2.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| No log        | 0.6   | 6    | 22.7124         | 1.0 |
+| No log        | 1.2   | 12   | 20.1775         | 1.0 |
+| No log        | 1.8   | 18   | 18.6052         | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.13.1