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---
library_name: transformers
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
model-index:
- name: climate-percentage-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. -->
# climate-percentage-regression
This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0558
## 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-06
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1077 | 1.0 | 77 | 0.0958 |
| 0.0804 | 2.0 | 154 | 0.0669 |
| 0.058 | 3.0 | 231 | 0.0587 |
| 0.0515 | 4.0 | 308 | 0.0572 |
| 0.0487 | 5.0 | 385 | 0.0566 |
| 0.0469 | 6.0 | 462 | 0.0565 |
| 0.045 | 7.0 | 539 | 0.0559 |
| 0.0433 | 8.0 | 616 | 0.0556 |
| 0.0424 | 9.0 | 693 | 0.0558 |
| 0.0415 | 10.0 | 770 | 0.0558 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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