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Training in progress, step 500

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-noised-with-all-dist
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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-noised-with-all-dist
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5751
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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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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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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+ | 0.7697 | 0.11 | 500 | 0.7542 |
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+ | 0.8211 | 0.21 | 1000 | 0.7434 |
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+ | 0.7764 | 0.32 | 1500 | 0.6996 |
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+ | 0.7867 | 0.43 | 2000 | 0.6640 |
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+ | 0.6795 | 0.54 | 2500 | 0.6581 |
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+ | 0.6778 | 0.64 | 3000 | 0.6535 |
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+ | 0.7028 | 0.75 | 3500 | 0.6547 |
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+ | 0.7104 | 0.86 | 4000 | 0.6318 |
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+ | 0.7032 | 0.96 | 4500 | 0.6213 |
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+ | 0.6062 | 1.07 | 5000 | 0.6157 |
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+ | 0.5789 | 1.18 | 5500 | 0.6175 |
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+ | 0.5689 | 1.28 | 6000 | 0.6118 |
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+ | 0.5183 | 1.39 | 6500 | 0.6147 |
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+ | 0.5834 | 1.5 | 7000 | 0.5938 |
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+ | 0.5708 | 1.61 | 7500 | 0.5964 |
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+ | 0.5118 | 1.71 | 8000 | 0.5924 |
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+ | 0.5284 | 1.82 | 8500 | 0.5900 |
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+ | 0.5192 | 1.93 | 9000 | 0.5936 |
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+ | 0.5358 | 2.03 | 9500 | 0.5879 |
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+ | 0.4422 | 2.14 | 10000 | 0.5948 |
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+ | 0.4852 | 2.25 | 10500 | 0.5917 |
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+ | 0.4383 | 2.35 | 11000 | 0.5847 |
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+ | 0.552 | 2.46 | 11500 | 0.5824 |
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+ | 0.4464 | 2.57 | 12000 | 0.5810 |
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+ | 0.4089 | 2.68 | 12500 | 0.5793 |
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+ | 0.4898 | 2.78 | 13000 | 0.5749 |
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+ | 0.4753 | 2.89 | 13500 | 0.5794 |
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+ | 0.4579 | 3.0 | 14000 | 0.5751 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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