update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-yahd-twval
+  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. -->
+
+# distilbert-base-uncased-finetuned-yahd-twval
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5919
+- Accuracy: 0.3810
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4726        | 1.0   | 10001 | 2.9721          | 0.3051   |
+| 1.5319        | 2.0   | 20002 | 2.5919          | 0.3810   |
+| 1.1895        | 3.0   | 30003 | 3.9355          | 0.2664   |
+| 0.8886        | 4.0   | 40004 | 4.6847          | 0.2515   |
+| 0.7142        | 5.0   | 50005 | 4.8659          | 0.2604   |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0+cu102
+- Datasets 1.15.1
+- Tokenizers 0.10.3