update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- covid_qa_deepset
+model-index:
+- name: distilbert-base-uncased-finetuned-covdistilbert
+  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-covdistilbert
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the covid_qa_deepset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4844
+
+## 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: 128
+- eval_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 457  | 0.5125          |
+| 0.5146        | 2.0   | 914  | 0.4843          |
+| 0.2158        | 3.0   | 1371 | 0.4492          |
+| 0.1639        | 4.0   | 1828 | 0.4760          |
+| 0.1371        | 5.0   | 2285 | 0.4844          |
+
+
+### Framework versions
+
+- Transformers 4.13.0
+- Pytorch 1.10.0+cu102
+- Datasets 1.16.1
+- Tokenizers 0.10.3