Model save

README.md

@@ -0,0 +1,62 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: bartpho-finetuned-qa
+  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. -->
+
+# bartpho-finetuned-qa
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0573
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.1591        | 0.4032 | 100  | 0.0943          |
+| 0.1181        | 0.8065 | 200  | 0.0841          |
+| 0.0846        | 1.2097 | 300  | 0.0676          |
+| 0.0641        | 1.6129 | 400  | 0.0597          |
+| 0.0512        | 2.0161 | 500  | 0.0573          |
+| 0.0354        | 2.4194 | 600  | 0.0617          |
+| 0.0327        | 2.8226 | 700  | 0.0573          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1
+- Datasets 3.1.0
+- Tokenizers 0.19.1