|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4 |
|
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-finetuned-roundup-1-4 |
|
|
|
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. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8305 |
|
- Rouge1: 54.122 |
|
- Rouge2: 35.2787 |
|
- Rougel: 37.6989 |
|
- Rougelsum: 51.4679 |
|
- Gen Len: 142.0 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
|
| 1.7158 | 1.0 | 795 | 0.9986 | 53.1755 | 33.3503 | 35.235 | 50.6513 | 142.0 | |
|
| 0.7643 | 2.0 | 1590 | 0.8622 | 53.3646 | 34.429 | 36.7998 | 51.0487 | 141.1852 | |
|
| 0.5894 | 3.0 | 2385 | 0.8345 | 54.2777 | 35.0495 | 37.8567 | 51.7937 | 142.0 | |
|
| 0.4039 | 4.0 | 3180 | 0.8305 | 54.122 | 35.2787 | 37.6989 | 51.4679 | 142.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.18.0 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
