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: 0.3233
+- Wer: 0.2574
+
+## 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: 0.0002
+- train_batch_size: 16
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.0949        | 3.52  | 500  | 1.1140          | 0.7136 |
+| 0.7584        | 7.04  | 1000 | 0.5312          | 0.5154 |
+| 0.4254        | 10.56 | 1500 | 0.4489          | 0.4401 |
+| 0.2708        | 14.08 | 2000 | 0.4108          | 0.3770 |
+| 0.1855        | 17.61 | 2500 | 0.3881          | 0.3257 |
+| 0.139         | 21.13 | 3000 | 0.3666          | 0.2958 |
+| 0.1057        | 24.65 | 3500 | 0.3351          | 0.2748 |
+| 0.0855        | 28.17 | 4000 | 0.3233          | 0.2574 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.11.0+cu113
+- Datasets 1.18.3
+- Tokenizers 0.10.3