alex-miller
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End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: alex-miller/ODABert
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tags:
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- generated_from_trainer
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model-index:
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- name: climate-percentage-regression
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# climate-percentage-regression
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0613
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- Mse: 0.0613
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.066 | 1.0 | 126 | 0.0603 | 0.0603 |
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| 0.044 | 2.0 | 252 | 0.0563 | 0.0563 |
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| 0.0357 | 3.0 | 378 | 0.0582 | 0.0582 |
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| 0.0262 | 4.0 | 504 | 0.0562 | 0.0562 |
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| 0.0205 | 5.0 | 630 | 0.0609 | 0.0609 |
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| 0.0152 | 6.0 | 756 | 0.0622 | 0.0622 |
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| 0.0135 | 7.0 | 882 | 0.0612 | 0.0612 |
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| 0.0103 | 8.0 | 1008 | 0.0571 | 0.0571 |
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| 0.0097 | 9.0 | 1134 | 0.0617 | 0.0617 |
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| 0.0089 | 10.0 | 1260 | 0.0613 | 0.0613 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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