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--- |
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license: apache-2.0 |
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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: bert-distilled-twitter-sent140_dataset_hp_optimized_final |
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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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# bert-distilled-twitter-sent140_dataset_hp_optimized_final |
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This model is a fine-tuned version of [ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140](https://huggingface.co/ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7526 |
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- Accuracy: 0.7701 |
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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: 1.0252171333853176e-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: 5 |
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- mixed_precision_training: Native AMP |
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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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| 0.5666 | 1.0 | 408 | 0.7110 | 0.7647 | |
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| 0.501 | 2.0 | 816 | 0.7382 | 0.7567 | |
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| 0.5199 | 3.0 | 1224 | 0.7562 | 0.7674 | |
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| 0.4972 | 4.0 | 1632 | 0.7502 | 0.7647 | |
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| 0.4498 | 5.0 | 2040 | 0.7526 | 0.7701 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.12.1 |
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