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README.md
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---
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license: mit
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tags:
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- summarization
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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: mbart-large-50-finetuned-stocks-event-all
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results: []
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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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# mbart-large-50-finetuned-stocks-event-all
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5518
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- Rouge1: 0.5383
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- Rouge2: 0.4868
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- Rougel: 0.5387
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- Rougelsum: 0.5362
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 2.2097 | 1.0 | 97 | 0.5821 | 0.5174 | 0.4646 | 0.5137 | 0.5111 |
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| 0.5315 | 2.0 | 194 | 0.4826 | 0.5169 | 0.4709 | 0.5186 | 0.5168 |
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| 0.3602 | 3.0 | 291 | 0.4677 | 0.5319 | 0.4811 | 0.5344 | 0.5304 |
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| 0.2639 | 4.0 | 388 | 0.4724 | 0.5319 | 0.4750 | 0.5335 | 0.5318 |
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| 0.1715 | 5.0 | 485 | 0.4504 | 0.5331 | 0.4790 | 0.5337 | 0.5323 |
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| 0.1136 | 6.0 | 582 | 0.4894 | 0.5321 | 0.4886 | 0.5324 | 0.5295 |
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| 0.0618 | 7.0 | 679 | 0.5445 | 0.5456 | 0.4959 | 0.5473 | 0.5438 |
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| 0.0347 | 8.0 | 776 | 0.5518 | 0.5383 | 0.4868 | 0.5387 | 0.5362 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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