metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: >-
fb-bart-large-finetuned-trade-the-event-finance-summarizer-finetuned-roundup-1-4
results: []
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 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