update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- superb
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-ks
+  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-finetuned-ks
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1761
+- Accuracy: 0.6209
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2158        | 1.0   | 40   | 2.1761          | 0.6209   |
+| 2.1251        | 2.0   | 80   | 2.1767          | 0.6209   |
+| 2.1362        | 3.0   | 120  | 2.1850          | 0.6209   |
+| 0.0           | 4.0   | 160  | nan             | 0.0384   |
+| 0.0           | 5.0   | 200  | nan             | 0.0384   |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.13.1+cu116
+- Datasets 1.14.0
+- Tokenizers 0.10.3