update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- tydiqa
+model-index:
+- name: indobert-finetune-tydiqa-transfer-indoqa
+  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. -->
+
+# indobert-finetune-tydiqa-transfer-indoqa
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the tydiqa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4999
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.919         | 1.0   | 362  | 2.9060          |
+| 1.691         | 2.0   | 724  | 2.3301          |
+| 1.2875        | 3.0   | 1086 | 2.2975          |
+| 1.0796        | 4.0   | 1448 | 2.2565          |
+| 0.9246        | 5.0   | 1810 | 2.1829          |
+| 0.7948        | 6.0   | 2172 | 2.2602          |
+| 0.7139        | 7.0   | 2534 | 2.3786          |
+| 0.6345        | 8.0   | 2896 | 2.3917          |
+| 0.5932        | 9.0   | 3258 | 2.4541          |
+| 0.5576        | 10.0  | 3620 | 2.4999          |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.1