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-colab90
+  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-colab90
+
+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: 0.6766
+- Wer: 0.4479
+
+## 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: 60
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.0217        | 7.04  | 500  | 3.2571          | 1.0    |
+| 1.271         | 14.08 | 1000 | 0.6501          | 0.5874 |
+| 0.4143        | 21.13 | 1500 | 0.5943          | 0.5360 |
+| 0.2446        | 28.17 | 2000 | 0.6285          | 0.5028 |
+| 0.1653        | 35.21 | 2500 | 0.6553          | 0.4992 |
+| 0.1295        | 42.25 | 3000 | 0.6735          | 0.4705 |
+| 0.1033        | 49.3  | 3500 | 0.6792          | 0.4539 |
+| 0.0886        | 56.34 | 4000 | 0.6766          | 0.4479 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.11.0+cu113
+- Datasets 1.18.3
+- Tokenizers 0.10.3