End of training

README.md

@@ -0,0 +1,63 @@
+---
+base_model: airesearch/wangchanberta-base-att-spm-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wangchanberta-fine-tune-fin-news-sentiment-th
+  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. -->
+
+# wangchanberta-fine-tune-fin-news-sentiment-th
+
+This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6650
+- Accuracy: 0.7276
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.9665        | 1.0   | 3054  | 0.9572          | 0.5602   |
+| 0.8734        | 2.0   | 6108  | 0.8522          | 0.6439   |
+| 0.7737        | 3.0   | 9162  | 0.7577          | 0.6992   |
+| 0.6607        | 4.0   | 12216 | 0.6860          | 0.7205   |
+| 0.6068        | 5.0   | 15270 | 0.6650          | 0.7276   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0