update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-base-timit-demo-colab-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. -->
+
+# wav2vec2-base-timit-demo-colab-1
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6895
+- Wer: 0.4357
+
+## 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: 6
+- 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: 800
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.6622        | 5.26  | 500  | 3.1853          | 1.0    |
+| 1.46          | 10.53 | 1000 | 0.7476          | 0.5737 |
+| 0.497         | 15.79 | 1500 | 0.6507          | 0.4953 |
+| 0.3041        | 21.05 | 2000 | 0.6530          | 0.4546 |
+| 0.2073        | 26.32 | 2500 | 0.6895          | 0.4357 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.11.0+cu113
+- Datasets 1.18.3
+- Tokenizers 0.10.3