update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-qa-checkpoint-v5
+  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-qa-checkpoint-v5
+
+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: 0.4904
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3912        | 1.0   | 2059  | 0.3897          |
+| 0.3313        | 2.0   | 4118  | 0.3449          |
+| 0.2679        | 3.0   | 6177  | 0.3508          |
+| 0.2323        | 4.0   | 8236  | 0.3489          |
+| 0.2047        | 5.0   | 10295 | 0.3578          |
+| 0.1913        | 6.0   | 12354 | 0.4529          |
+| 0.1821        | 7.0   | 14413 | 0.4904          |
+
+
+### Framework versions
+
+- Transformers 4.27.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.3