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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: BART_reddit_other
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BART_reddit_other
+
+This model is a fine-tuned version of [sshleifer/distilbart-xsum-6-6](https://huggingface.co/sshleifer/distilbart-xsum-6-6) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5792
+- Rouge1: 18.5705
+- Rouge2: 5.0107
+- Rougel: 15.2581
+- Rougelsum: 16.082
+- Gen Len: 19.402
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.7887        | 1.0   | 1875 | 3.6044          | 18.4668 | 5.182  | 15.359  | 16.169    | 19.341  |
+| 3.3816        | 2.0   | 3750 | 3.5628          | 18.0998 | 4.8937 | 15.0179 | 15.7615   | 17.789  |
+| 3.134         | 3.0   | 5625 | 3.5792          | 18.5705 | 5.0107 | 15.2581 | 16.082    | 19.402  |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1

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special_tokens_map.json

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+    "rstrip": false,
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tokenizer_config.json

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+  "tokenizer_class": "BartTokenizer",
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