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: wb-climate-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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# wb-climate-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: 0.0309
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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: 2e-06
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0722 | 1.0 | 126 | 0.0577 |
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| 0.0481 | 2.0 | 252 | 0.0391 |
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| 0.04 | 3.0 | 378 | 0.0350 |
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| 0.0366 | 4.0 | 504 | 0.0332 |
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| 0.0341 | 5.0 | 630 | 0.0323 |
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| 0.0323 | 6.0 | 756 | 0.0312 |
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| 0.0304 | 7.0 | 882 | 0.0312 |
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| 0.0296 | 8.0 | 1008 | 0.0310 |
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| 0.0281 | 9.0 | 1134 | 0.0306 |
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| 0.0268 | 10.0 | 1260 | 0.0310 |
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| 0.0261 | 11.0 | 1386 | 0.0303 |
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| 0.0247 | 12.0 | 1512 | 0.0305 |
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| 0.0243 | 13.0 | 1638 | 0.0310 |
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| 0.0233 | 14.0 | 1764 | 0.0306 |
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| 0.0221 | 15.0 | 1890 | 0.0309 |
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| 0.0222 | 16.0 | 2016 | 0.0307 |
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| 0.0216 | 17.0 | 2142 | 0.0308 |
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| 0.0211 | 18.0 | 2268 | 0.0312 |
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| 0.021 | 19.0 | 2394 | 0.0310 |
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| 0.0206 | 20.0 | 2520 | 0.0309 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Nov04_15-16-57_183c20bf90ed/events.out.tfevents.1730733420.183c20bf90ed.1016.0
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