Model save
Browse files- README.md +85 -0
- model.safetensors +1 -1
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: answerdotai/ModernBERT-base
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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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- f1
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- precision
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- recall
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model-index:
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- name: climate-guard-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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# climate-guard-classifier
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.9405
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- Accuracy: 0.4774
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- F1: 0.4600
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- Precision: 0.6228
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- Recall: 0.4774
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- F1 0 Not Relevant: 0.5064
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- F1 1 Not Happening: 0.6036
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- F1 2 Not Human: 0.3804
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- F1 3 Not Bad: 0.4901
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- F1 4 Solutions Harmful Unnecessary: 0.3382
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- F1 5 Science Is Unreliable: 0.4126
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- F1 6 Proponents Biased: 0.4433
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- F1 7 Fossil Fuels Needed: 0.4752
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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-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 22
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | F1 0 Not Relevant | F1 1 Not Happening | F1 2 Not Human | F1 3 Not Bad | F1 4 Solutions Harmful Unnecessary | F1 5 Science Is Unreliable | F1 6 Proponents Biased | F1 7 Fossil Fuels Needed |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----------------:|:------------------:|:--------------:|:------------:|:----------------------------------:|:--------------------------:|:----------------------:|:------------------------:|
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| 0.4502 | 1.0 | 2324 | 0.2539 | 0.9214 | 0.9208 | 0.9256 | 0.9214 | 0.8674 | 0.8627 | 0.9116 | 0.9473 | 0.9461 | 0.9092 | 0.9277 | 0.9683 |
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| 0.3061 | 2.0 | 4648 | 0.1701 | 0.9446 | 0.9447 | 0.9461 | 0.9446 | 0.8858 | 0.9185 | 0.9295 | 0.9574 | 0.9628 | 0.9450 | 0.9446 | 0.9750 |
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| 0.1339 | 3.0 | 6972 | 0.2239 | 0.9499 | 0.9499 | 0.9502 | 0.9499 | 0.8900 | 0.9412 | 0.9506 | 0.9469 | 0.9611 | 0.9506 | 0.9364 | 0.9786 |
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| 0.0217 | 4.0 | 9296 | 0.3198 | 0.9517 | 0.9517 | 0.9520 | 0.9517 | 0.9073 | 0.9430 | 0.9520 | 0.9561 | 0.9542 | 0.9537 | 0.9369 | 0.9771 |
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| 0.0032 | 5.0 | 11620 | 0.3009 | 0.9530 | 0.9530 | 0.9531 | 0.9530 | 0.9007 | 0.9408 | 0.9553 | 0.9565 | 0.9602 | 0.9525 | 0.9388 | 0.9815 |
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| 0.0001 | 6.0 | 13944 | 0.3055 | 0.9538 | 0.9537 | 0.9537 | 0.9538 | 0.9055 | 0.9424 | 0.9536 | 0.9590 | 0.9589 | 0.9540 | 0.9413 | 0.9802 |
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| 0.0028 | 6.9972 | 16261 | 0.3108 | 0.9529 | 0.9529 | 0.9529 | 0.9529 | 0.9055 | 0.9413 | 0.9541 | 0.9574 | 0.9564 | 0.9541 | 0.9403 | 0.9792 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 598458240
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version https://git-lfs.github.com/spec/v1
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oid sha256:3922c447d20579ba76db2f9f2ea9a2b0cce1d6429298a725164399ceba865de0
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size 598458240
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