End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+model-index:
+- name: experiment_lr_20241214_130720
+  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. -->
+
+# experiment_lr_20241214_130720
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0103
+- Exact Match Accuracy: 0.8830
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Exact Match Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
+| 0.014         | 1.0   | 4594  | 0.0125          | 0.6134               |
+| 0.0023        | 2.0   | 9188  | 0.0072          | 0.8473               |
+| 0.0009        | 3.0   | 13782 | 0.0078          | 0.8711               |
+| 0.0006        | 4.0   | 18376 | 0.0085          | 0.8711               |
+| 0.0003        | 5.0   | 22970 | 0.0094          | 0.8685               |
+| 0.0002        | 6.0   | 27564 | 0.0096          | 0.8771               |
+| 0.0002        | 7.0   | 32158 | 0.0095          | 0.8824               |
+| 0.0001        | 8.0   | 36752 | 0.0111          | 0.8744               |
+| 0.0001        | 9.0   | 41346 | 0.0103          | 0.8830               |
+| 0.0001        | 10.0  | 45940 | 0.0100          | 0.8824               |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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