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README.md
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---
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---
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: Clickbait2
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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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# Clickbait2
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0214
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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: 5e-05
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.05 | 50 | 0.0218 |
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| No log | 0.09 | 100 | 0.0217 |
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| No log | 0.14 | 150 | 0.0227 |
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| No log | 0.18 | 200 | 0.0218 |
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| No log | 0.23 | 250 | 0.0217 |
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| No log | 0.27 | 300 | 0.0217 |
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| No log | 0.32 | 350 | 0.0221 |
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| No log | 0.36 | 400 | 0.0219 |
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| No log | 0.41 | 450 | 0.0217 |
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| 0.0221 | 0.46 | 500 | 0.0229 |
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| 0.0221 | 0.5 | 550 | 0.0218 |
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| 0.0221 | 0.55 | 600 | 0.0216 |
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| 0.0221 | 0.59 | 650 | 0.0216 |
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| 0.0221 | 0.64 | 700 | 0.0221 |
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| 0.0221 | 0.68 | 750 | 0.0233 |
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| 0.0221 | 0.73 | 800 | 0.0218 |
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| 0.0221 | 0.77 | 850 | 0.0217 |
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| 0.0221 | 0.82 | 900 | 0.0222 |
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| 0.0221 | 0.87 | 950 | 0.0218 |
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| 0.0217 | 0.91 | 1000 | 0.0214 |
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| 0.0217 | 0.96 | 1050 | 0.0216 |
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| 0.0217 | 1.0 | 1100 | 0.0217 |
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| 0.0217 | 1.05 | 1150 | 0.0217 |
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| 0.0217 | 1.09 | 1200 | 0.0215 |
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| 0.0217 | 1.14 | 1250 | 0.0216 |
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| 0.0217 | 1.18 | 1300 | 0.0215 |
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| 0.0217 | 1.23 | 1350 | 0.0217 |
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| 0.0217 | 1.28 | 1400 | 0.0217 |
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| 0.0217 | 1.32 | 1450 | 0.0221 |
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| 0.0219 | 1.37 | 1500 | 0.0220 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0a0+17540c5
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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