BenjaminTT
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End of training
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README.md
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---
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license: apache-2.0
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base_model: distilbert/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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model-index:
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- name: NLPGroupProject-Finetune-DistilBert
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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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# NLPGroupProject-Finetune-DistilBert
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 1.1391
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- Accuracy: 0.723
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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: 4
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- eval_batch_size: 4
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.25 | 250 | 0.9720 | 0.69 |
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| 0.9562 | 0.5 | 500 | 0.8417 | 0.707 |
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| 0.9562 | 0.75 | 750 | 0.7335 | 0.73 |
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| 0.8908 | 1.0 | 1000 | 0.7306 | 0.739 |
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| 0.8908 | 1.25 | 1250 | 0.7490 | 0.721 |
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| 0.646 | 1.5 | 1500 | 0.7560 | 0.738 |
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| 0.646 | 1.75 | 1750 | 0.7759 | 0.73 |
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| 0.6244 | 2.0 | 2000 | 0.8180 | 0.723 |
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| 0.6244 | 2.25 | 2250 | 1.0023 | 0.722 |
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| 0.359 | 2.5 | 2500 | 1.0590 | 0.728 |
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| 0.359 | 2.75 | 2750 | 1.0733 | 0.723 |
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| 0.3716 | 3.0 | 3000 | 1.1391 | 0.723 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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