update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad
+  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. -->
+
+# bert-multi-cased-finetuned-xquadv1-finetuned-thai-squad
+
+This model is a fine-tuned version of [mrm8488/bert-multi-cased-finetuned-xquadv1](https://huggingface.co/mrm8488/bert-multi-cased-finetuned-xquadv1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1563
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9912        | 1.0   | 2691 | 1.0653          |
+| 0.7646        | 2.0   | 5382 | 0.9882          |
+| 0.4251        | 3.0   | 8073 | 1.1563          |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0+cu111
+- Datasets 1.15.1
+- Tokenizers 0.10.3