update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: hubert-base-timit-demo-colab
+  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. -->
+
+# hubert-base-timit-demo-colab
+
+This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1092
+- Wer: 0.1728
+
+## 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: 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: 1000
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.4664        | 4.0   | 500  | 2.3026          | 0.9866 |
+| 0.8171        | 8.0   | 1000 | 0.0980          | 0.1885 |
+| 0.2983        | 12.0  | 1500 | 0.0943          | 0.1750 |
+| 0.1769        | 16.0  | 2000 | 0.0990          | 0.1737 |
+| 0.1823        | 20.0  | 2500 | 0.1068          | 0.1757 |
+| 0.0761        | 24.0  | 3000 | 0.1041          | 0.1719 |
+| 0.0993        | 28.0  | 3500 | 0.1092          | 0.1728 |
+
+
+### Framework versions
+
+- Transformers 4.13.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.16.1
+- Tokenizers 0.10.3