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+ ---
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+ language:
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+ - it_IT
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+ - it_IT
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: summarization_mbart_fanpage4epoch
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+ results: []
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+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # summarization_mbart_fanpage4epoch
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+
19
+ This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 2.1833
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+ - Rouge1: 36.5027
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+ - Rouge2: 17.4428
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+ - Rougel: 26.1734
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+ - Rougelsum: 30.2636
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+ - Gen Len: 75.2413
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+
28
+ ## Model description
29
+
30
+ More information needed
31
+
32
+ ## Intended uses & limitations
33
+
34
+ More information needed
35
+
36
+ ## Training and evaluation data
37
+
38
+ More information needed
39
+
40
+ ## Training procedure
41
+
42
+ ### Training hyperparameters
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+
44
+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: 4.0
52
+
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+ ### Training results
54
+
55
+
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+
57
+ ### Framework versions
58
+
59
+ - Transformers 4.15.0.dev0
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+ - Pytorch 1.10.0+cu102
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+ - Datasets 1.15.1
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+ - Tokenizers 0.10.3
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