update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: unispeech-sat-base-digit-mask-ft
+  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. -->
+
+# unispeech-sat-base-digit-mask-ft
+
+This model is a fine-tuned version of [microsoft/unispeech-sat-base](https://huggingface.co/microsoft/unispeech-sat-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0053
+- Accuracy: 0.9991
+- F1: 0.9991
+
+## 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: 1e-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Accuracy | F1     | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:------:|:---------------:|
+| 0.0079        | 1.0   | 14264 | 0.9991   | 0.9991 | 0.0053          |
+| 0.0019        | 2.0   | 28528 | 0.9987   | 0.9987 | 0.0078          |
+| 0.0009        | 3.0   | 42792 | 0.9989   | 0.9989 | 0.0069          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 1.13.0+cpu
+- Datasets 2.12.0
+- Tokenizers 0.13.2