update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-base-en-asr-timit
+  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-en-asr-timit
+
+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: 0.4525
+- Wer: 0.3510
+
+## 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: 64
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.6253        | 3.17  | 200  | 3.0613          | 1.0    |
+| 2.9038        | 6.35  | 400  | 2.7513          | 1.0    |
+| 1.5048        | 9.52  | 600  | 0.6193          | 0.5702 |
+| 0.4196        | 12.7  | 800  | 0.4788          | 0.4464 |
+| 0.2203        | 15.87 | 1000 | 0.4743          | 0.4098 |
+| 0.1439        | 19.05 | 1200 | 0.4420          | 0.3804 |
+| 0.0963        | 22.22 | 1400 | 0.4587          | 0.3620 |
+| 0.073         | 25.4  | 1600 | 0.4681          | 0.3588 |
+| 0.0603        | 28.57 | 1800 | 0.4525          | 0.3510 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1+cu113
+- Datasets 1.18.3
+- Tokenizers 0.13.2