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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-3 |
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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-3 |
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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: 0.2914 |
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- Rouge1: 0.0 |
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- Rouge2: 0.0 |
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- Rougel: 0.0 |
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- Rougelsum: 0.0 |
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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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| 5.4797 | 1.0 | 29 | 1.7775 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.5482 | 2.0 | 58 | 0.6397 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.3064 | 3.0 | 87 | 0.3303 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.1991 | 4.0 | 116 | 0.2728 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.1673 | 5.0 | 145 | 0.2764 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.1513 | 6.0 | 174 | 0.3056 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.145 | 7.0 | 203 | 0.2939 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 0.0741 | 8.0 | 232 | 0.2914 | 0.0 | 0.0 | 0.0 | 0.0 | |
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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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