pytorch tensorboard bart text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4
  results: []
---

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# 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
