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--- |
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base_model: finiteautomata/bertweet-base-sentiment-analysis |
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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: my_awesome_model_IMDB |
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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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# my_awesome_model_IMDB |
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This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6664 |
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- Accuracy: 0.8949 |
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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: 32 |
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- eval_batch_size: 32 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.3261 | 1.0 | 782 | 0.2674 | 0.8903 | |
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| 0.2072 | 2.0 | 1564 | 0.3035 | 0.8820 | |
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| 0.1408 | 3.0 | 2346 | 0.3532 | 0.8967 | |
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| 0.0876 | 4.0 | 3128 | 0.4793 | 0.8922 | |
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| 0.0661 | 5.0 | 3910 | 0.4755 | 0.8925 | |
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| 0.0373 | 6.0 | 4692 | 0.5159 | 0.8937 | |
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| 0.034 | 7.0 | 5474 | 0.5527 | 0.8923 | |
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| 0.0264 | 8.0 | 6256 | 0.6391 | 0.8947 | |
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| 0.0179 | 9.0 | 7038 | 0.6491 | 0.8942 | |
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| 0.0094 | 10.0 | 7820 | 0.6664 | 0.8949 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.17.0 |
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- Tokenizers 0.14.0 |
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