update model card README.md

README.md

@@ -0,0 +1,60 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: REPEAT622_1wangchanberta-base-att-spm-uncased
+  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. -->
+
+# REPEAT622_1wangchanberta-base-att-spm-uncased
+
+This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1400
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4528        | 1.0   | 9531  | 0.1904          |
+| 0.2094        | 2.0   | 19062 | 0.1575          |
+| 0.1485        | 3.0   | 28593 | 0.1394          |
+| 0.1252        | 4.0   | 38124 | 0.1399          |
+| 0.1109        | 5.0   | 47655 | 0.1400          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.13.0+cu116
+- Datasets 1.17.0
+- Tokenizers 0.10.3