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--- |
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license: mit |
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base_model: facebook/bart-large-mnli |
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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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- f1 |
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model-index: |
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- name: bart-large-mnli_17082023T115544 |
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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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# bart-large-mnli_17082023T115544 |
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4791 |
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- Accuracy: 0.9394 |
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- F1: 0.9528 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 142 | 0.2605 | 0.9095 | 0.9307 | |
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| No log | 2.0 | 284 | 0.2664 | 0.9183 | 0.9389 | |
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| No log | 2.99 | 426 | 0.2562 | 0.9315 | 0.9467 | |
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| 0.193 | 4.0 | 569 | 0.3992 | 0.9315 | 0.9458 | |
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| 0.193 | 5.0 | 711 | 0.4185 | 0.9315 | 0.9441 | |
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| 0.193 | 6.0 | 853 | 0.4918 | 0.9306 | 0.9462 | |
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| 0.193 | 6.99 | 995 | 0.4584 | 0.9385 | 0.9526 | |
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| 0.0101 | 8.0 | 1138 | 0.4611 | 0.9367 | 0.9503 | |
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| 0.0101 | 9.0 | 1280 | 0.4739 | 0.9385 | 0.9518 | |
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| 0.0101 | 9.98 | 1420 | 0.4791 | 0.9394 | 0.9528 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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