End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bartL_3
+  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. -->
+
+# bartL_3
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8209
+- Rouge1: 0.1782
+- Rouge2: 0.0368
+- Rougel: 0.1349
+- Rougelsum: 0.1349
+- Gen Len: 20.0
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 1515
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.283         | 1.0   | 317  | 2.7342          | 0.1742 | 0.0364 | 0.128  | 0.1283    | 20.0    |
+| 2.6366        | 2.0   | 634  | 2.7466          | 0.1838 | 0.0448 | 0.139  | 0.1394    | 20.0    |
+| 2.2437        | 3.0   | 951  | 2.7819          | 0.1691 | 0.0374 | 0.1277 | 0.1278    | 20.0    |
+| 1.9957        | 4.0   | 1268 | 2.8209          | 0.1782 | 0.0368 | 0.1349 | 0.1349    | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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generation_config.json

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