update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: wav2vec2-adult-child-cls
+  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-adult-child-cls
+
+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: 0.1713
+- Accuracy: 0.9460
+- F1: 0.9509
+
+## 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.323         | 1.0   | 96   | 0.2699          | 0.9026   | 0.9085 |
+| 0.2003        | 2.0   | 192  | 0.2005          | 0.9234   | 0.9300 |
+| 0.1808        | 3.0   | 288  | 0.1780          | 0.9377   | 0.9438 |
+| 0.1537        | 4.0   | 384  | 0.1673          | 0.9441   | 0.9488 |
+| 0.1135        | 5.0   | 480  | 0.1713          | 0.9460   | 0.9509 |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.3
+- Tokenizers 0.10.3