metadata
license: mit
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mbart-large-50-finetuned-stocks-event-1
results: []
mbart-large-50-finetuned-stocks-event-1
This model is a fine-tuned version of jiaoqsh/mbart-large-50-finetuned-stock-dividend on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1419
- Rouge1: 0.9120
- Rouge2: 0.8056
- Rougel: 0.9120
- Rougelsum: 0.9120
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 |
|---|---|---|---|---|---|---|---|
| 0.3179 | 1.0 | 20 | 0.1784 | 0.8727 | 0.7639 | 0.8704 | 0.8727 |
| 0.0569 | 2.0 | 40 | 0.0822 | 0.9167 | 0.8333 | 0.9167 | 0.9144 |
| 0.0284 | 3.0 | 60 | 0.1842 | 0.9120 | 0.8194 | 0.9144 | 0.9120 |
| 0.0153 | 4.0 | 80 | 0.1448 | 0.9236 | 0.8472 | 0.9213 | 0.9236 |
| 0.0066 | 5.0 | 100 | 0.1271 | 0.9444 | 0.875 | 0.9421 | 0.9444 |
| 0.0013 | 6.0 | 120 | 0.1381 | 0.9190 | 0.8194 | 0.9213 | 0.9213 |
| 0.0083 | 7.0 | 140 | 0.1414 | 0.9190 | 0.8194 | 0.9213 | 0.9213 |
| 0.0002 | 8.0 | 160 | 0.1419 | 0.9120 | 0.8056 | 0.9120 | 0.9120 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2