End of training

README.md

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+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: nb-bert-base-ctr-regression
+  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. -->
+
+# nb-bert-base-ctr-regression
+
+This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0065
+- Mse: 0.0065
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0095        | 1.0   | 1103 | 0.0061          | 0.0061 |
+| 0.0068        | 2.0   | 2206 | 0.0065          | 0.0065 |
+| 0.0047        | 3.0   | 3309 | 0.0059          | 0.0059 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.4
+- Tokenizers 0.12.1

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