update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: microsoft/focalnet-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: focal-patacotron
+  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. -->
+
+# focal-patacotron
+
+This model is a fine-tuned version of [microsoft/focalnet-small](https://huggingface.co/microsoft/focalnet-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0137
+- Accuracy: 0.9886
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0043        | 0.97  | 24   | 0.0620          | 0.9773   |
+| 0.0           | 1.94  | 48   | 0.0137          | 0.9886   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3