update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_2
+  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-onomatopoeia-finetune_smalldata_ESC50pretrained_2
+
+This model is a fine-tuned version of [/root/workspace/wav2vec2-pretrained_with_ESC50_10000epochs_32batch_2022-07-09_22-16-46/pytorch_model.bin](https://huggingface.co//root/workspace/wav2vec2-pretrained_with_ESC50_10000epochs_32batch_2022-07-09_22-16-46/pytorch_model.bin) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6235
+- Cer: 0.8973
+
+## 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: 16
+- 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 | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.0097        | 23.81 | 500  | 2.6235          | 0.8973 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.1+cu111
+- Datasets 1.13.3
+- Tokenizers 0.10.3