alex-miller
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End of training
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README.md
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---
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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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metrics:
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- accuracy
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model-index:
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- name: iati-climate-classifier
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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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# iati-climate-classifier
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3397
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- Accuracy: 0.8562
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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-06
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- train_batch_size: 16
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- eval_batch_size: 16
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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 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.4374 | 1.0 | 2739 | 0.3603 | 0.8443 |
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| 0.3492 | 2.0 | 5478 | 0.3553 | 0.8508 |
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| 0.3265 | 3.0 | 8217 | 0.3397 | 0.8562 |
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| 0.3099 | 4.0 | 10956 | 0.3404 | 0.8607 |
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| 0.2955 | 5.0 | 13695 | 0.3536 | 0.8602 |
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| 0.2849 | 6.0 | 16434 | 0.3486 | 0.8628 |
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| 0.2746 | 7.0 | 19173 | 0.3484 | 0.8634 |
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| 0.2681 | 8.0 | 21912 | 0.3518 | 0.8630 |
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| 0.2619 | 9.0 | 24651 | 0.3560 | 0.8639 |
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| 0.2597 | 10.0 | 27390 | 0.3535 | 0.8649 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.0.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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runs/Mar19_12-55-00_129-80-250-136/events.out.tfevents.1710869985.129-80-250-136.2566.1
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