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---
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license: apache-2.0
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base_model: Twitter/twhin-bert-large
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tags:
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- generated_from_trainer
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model-index:
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- name: model
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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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# model
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8996
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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-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 300 | 2.1878 |
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| 2.4077 | 2.0 | 600 | 2.0959 |
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| 2.4077 | 3.0 | 900 | 2.1126 |
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| 2.2053 | 4.0 | 1200 | 2.0066 |
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| 2.0736 | 5.0 | 1500 | 1.9590 |
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| 2.0736 | 6.0 | 1800 | 1.9668 |
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| 2.0221 | 7.0 | 2100 | 1.9509 |
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| 2.0221 | 8.0 | 2400 | 1.9274 |
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| 1.9679 | 9.0 | 2700 | 1.8871 |
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| 1.9687 | 10.0 | 3000 | 1.8996 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.13.3
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