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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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- f1 |
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model-index: |
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- name: short-stories-lol-fine-tuned |
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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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# short-stories-lol-fine-tuned |
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7862 |
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- F1: 0.1353 |
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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: 3 |
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- eval_batch_size: 3 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 44 | 1.7573 | 0.0698 | |
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| No log | 2.0 | 88 | 1.7508 | 0.0569 | |
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| No log | 3.0 | 132 | 1.8932 | 0.0569 | |
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| No log | 4.0 | 176 | 1.9888 | 0.1432 | |
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| No log | 5.0 | 220 | 2.4816 | 0.0702 | |
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| No log | 6.0 | 264 | 2.8377 | 0.0859 | |
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| No log | 7.0 | 308 | 3.3364 | 0.1256 | |
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| No log | 8.0 | 352 | 3.2681 | 0.1017 | |
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| No log | 9.0 | 396 | 3.5178 | 0.1179 | |
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| No log | 10.0 | 440 | 3.7246 | 0.1548 | |
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| No log | 11.0 | 484 | 3.7577 | 0.1353 | |
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| 0.6317 | 12.0 | 528 | 3.7862 | 0.1353 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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