update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: timit-5percent-supervised
+  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. -->
+
+# timit-5percent-supervised
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6615
+- Wer: 0.2788
+
+## 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: 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: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 5.3773        | 33.33  | 500  | 2.9693          | 1.0    |
+| 1.4746        | 66.67  | 1000 | 0.5050          | 0.3359 |
+| 0.1067        | 100.0  | 1500 | 0.5981          | 0.3054 |
+| 0.0388        | 133.33 | 2000 | 0.6192          | 0.2712 |
+| 0.0244        | 166.67 | 2500 | 0.6392          | 0.2776 |
+| 0.018         | 200.0  | 3000 | 0.6615          | 0.2788 |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.10.2
+- Datasets 1.18.2
+- Tokenizers 0.10.3