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update model card README.md

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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart_left_heading_torch
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+ results: []
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+ ---
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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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+
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+ # bart_left_heading_torch
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.1853
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - 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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 8 | 10.9542 |
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+ | No log | 2.0 | 16 | 9.4997 |
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+ | No log | 3.0 | 24 | 8.7858 |
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+ | No log | 4.0 | 32 | 8.4885 |
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+ | No log | 5.0 | 40 | 8.0916 |
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+ | No log | 6.0 | 48 | 7.9659 |
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+ | No log | 7.0 | 56 | 7.6608 |
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+ | No log | 8.0 | 64 | 7.2812 |
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+ | No log | 9.0 | 72 | 7.0035 |
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+ | No log | 10.0 | 80 | 6.7113 |
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+ | No log | 11.0 | 88 | 6.3708 |
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+ | No log | 12.0 | 96 | 5.9869 |
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+ | No log | 13.0 | 104 | 5.6537 |
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+ | No log | 14.0 | 112 | 5.3304 |
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+ | No log | 15.0 | 120 | 5.0117 |
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+ | No log | 16.0 | 128 | 4.7120 |
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+ | No log | 17.0 | 136 | 4.4874 |
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+ | No log | 18.0 | 144 | 4.3164 |
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+ | No log | 19.0 | 152 | 4.2133 |
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+ | No log | 20.0 | 160 | 4.1853 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.1
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+ - Tokenizers 0.13.3