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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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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model-index: |
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- name: distilbert-base-uncased-finetuned-emotion |
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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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# distilbert-base-uncased-finetuned-emotion |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1803 |
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- Accuracy: 0.94 |
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- F1: 0.9400 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.5017 | 1.0 | 250 | 0.2116 | 0.9295 | 0.9305 | |
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| 0.1763 | 2.0 | 500 | 0.1617 | 0.936 | 0.9369 | |
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| 0.1267 | 3.0 | 750 | 0.1492 | 0.9385 | 0.9386 | |
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| 0.0979 | 4.0 | 1000 | 0.1495 | 0.9395 | 0.9392 | |
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| 0.0787 | 5.0 | 1250 | 0.1602 | 0.935 | 0.9349 | |
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| 0.067 | 6.0 | 1500 | 0.1588 | 0.9405 | 0.9401 | |
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| 0.0557 | 7.0 | 1750 | 0.1675 | 0.9415 | 0.9413 | |
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| 0.0452 | 8.0 | 2000 | 0.1764 | 0.937 | 0.9365 | |
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| 0.0375 | 9.0 | 2250 | 0.1765 | 0.9405 | 0.9406 | |
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| 0.0337 | 10.0 | 2500 | 0.1803 | 0.94 | 0.9400 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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