update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- timit_asr
+model-index:
+- name: wav2vec2-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. -->
+
+# wav2vec2-base-timit-demo-colab
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the timit_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4243
+- Wer: 0.2830
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.5112        | 3.45  | 500  | 1.1699          | 0.8236 |
+| 0.5349        | 6.9   | 1000 | 0.3911          | 0.3609 |
+| 0.1875        | 10.34 | 1500 | 0.3993          | 0.3170 |
+| 0.1113        | 13.79 | 2000 | 0.3870          | 0.3046 |
+| 0.0778        | 17.24 | 2500 | 0.4056          | 0.2963 |
+| 0.0561        | 20.69 | 3000 | 0.3781          | 0.2918 |
+| 0.0461        | 24.14 | 3500 | 0.4186          | 0.2857 |
+| 0.0375        | 27.59 | 4000 | 0.4243          | 0.2830 |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.0
+- Datasets 2.4.0
+- Tokenizers 0.12.1