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---
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fb-bart-large-finetuned-trade-the-event-finance-summarizer
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. -->
# fb-bart-large-finetuned-trade-the-event-finance-summarizer
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5103
- Rouge1: 57.6289
- Rouge2: 53.0421
- Rougel: 56.54
- Rougelsum: 56.5636
## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.8188 | 1.0 | 1688 | 1.7495 | 37.9629 | 22.0496 | 32.2942 | 32.4631 |
| 1.2551 | 2.0 | 3376 | 1.7559 | 38.5548 | 22.7487 | 32.9304 | 33.0737 |
| 0.8629 | 3.0 | 5064 | 1.9539 | 39.3912 | 22.8503 | 33.2043 | 33.4378 |
| 0.5661 | 4.0 | 6752 | 2.1153 | 39.1514 | 22.8104 | 33.1306 | 33.2955 |
| 0.3484 | 5.0 | 8440 | 2.3289 | 39.0093 | 22.4364 | 32.5868 | 32.7545 |
| 0.2009 | 6.0 | 10128 | 2.5754 | 39.0874 | 22.4444 | 32.6894 | 32.8413 |
| 0.1105 | 7.0 | 11816 | 2.8093 | 39.0905 | 22.4051 | 32.597 | 32.8183 |
| 0.0609 | 8.0 | 13504 | 0.5103 | 57.6289 | 53.0421 | 56.54 | 56.5636 |
### Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
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