End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: KienLe21/demo_qa_model
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta_qa_model
+  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. -->
+
+# roberta_qa_model
+
+This model is a fine-tuned version of [KienLe21/demo_qa_model](https://huggingface.co/KienLe21/demo_qa_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6229
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8673        | 1.0   | 750  | 1.4282          |
+| 0.5234        | 2.0   | 1500 | 1.4702          |
+| 0.3968        | 3.0   | 2250 | 1.6229          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.1
+- Tokenizers 0.21.0

runs/Feb20_02-59-55_1a01a1505a0c/events.out.tfevents.1740020397.1a01a1505a0c.351.1

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