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alex-miller
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climate-percentage-regression

Text Classification
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End of training

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Files changed (8) hide show
  1. README.md +14 -15
  2. model.safetensors +1 -1
  3. runs/Sep09_13-37-27_6d16d2b2acad/events.out.tfevents.1725889049.6d16d2b2acad.362.0 +3 -0
  4. runs/Sep09_13-53-30_6d16d2b2acad/events.out.tfevents.1725890014.6d16d2b2acad.362.1 +3 -0
  5. runs/Sep09_14-06-55_6d16d2b2acad/events.out.tfevents.1725890819.6d16d2b2acad.362.2 +3 -0
  6. runs/Sep09_14-28-02_6d16d2b2acad/events.out.tfevents.1725892085.6d16d2b2acad.362.3 +3 -0
  7. tokenizer.json +1 -6
  8. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -36,7 +35,7 @@ More information needed
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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
@@ -46,18 +45,18 @@ The following hyperparameters were used during training:
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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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  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: 0.0562
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 8e-07
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0862 | 1.0 | 126 | 0.0735 |
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+ | 0.0769 | 2.0 | 252 | 0.0674 |
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+ | 0.0713 | 3.0 | 378 | 0.0620 |
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+ | 0.0637 | 4.0 | 504 | 0.0586 |
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+ | 0.0586 | 5.0 | 630 | 0.0577 |
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+ | 0.0563 | 6.0 | 756 | 0.0569 |
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+ | 0.0548 | 7.0 | 882 | 0.0567 |
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+ | 0.0528 | 8.0 | 1008 | 0.0564 |
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+ | 0.051 | 9.0 | 1134 | 0.0563 |
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+ | 0.0516 | 10.0 | 1260 | 0.0562 |
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  ### Framework versions
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