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--- |
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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: fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4 |
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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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# fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4 |
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This model is a fine-tuned version of [nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer](https://huggingface.co/nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8305 |
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- Rouge1: 54.122 |
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- Rouge2: 35.2787 |
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- Rougel: 37.6989 |
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- Rougelsum: 51.4679 |
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- Gen Len: 142.0 |
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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: 2e-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 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
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| 1.7158 | 1.0 | 795 | 0.9986 | 53.1755 | 33.3503 | 35.235 | 50.6513 | 142.0 | |
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| 0.7643 | 2.0 | 1590 | 0.8622 | 53.3646 | 34.429 | 36.7998 | 51.0487 | 141.1852 | |
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| 0.5894 | 3.0 | 2385 | 0.8345 | 54.2777 | 35.0495 | 37.8567 | 51.7937 | 142.0 | |
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| 0.4039 | 4.0 | 3180 | 0.8305 | 54.122 | 35.2787 | 37.6989 | 51.4679 | 142.0 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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