update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: multi_stage_1
+  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. -->
+
+# multi_stage_1
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0602
+- Wer: 1.4611
+
+## 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: 0.0001
+- train_batch_size: 8
+- 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: 1000
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 9.5629        | 1.36  | 500  | 3.2434          | 1.0    |
+| 2.5993        | 2.72  | 1000 | 1.6934          | 2.4579 |
+| 0.978         | 4.09  | 1500 | 0.4587          | 2.1900 |
+| 0.2248        | 5.45  | 2000 | 0.0983          | 1.4237 |
+| 0.1018        | 6.81  | 2500 | 0.0602          | 1.4611 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.13.1+cu116
+- Datasets 1.18.3
+- Tokenizers 0.13.2