metadata
license: mit
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mbart-large-50-finetuned-stocks-event-3
results: []
mbart-large-50-finetuned-stocks-event-3
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2914
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 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 |
|---|---|---|---|---|---|---|---|
| 5.4797 | 1.0 | 29 | 1.7775 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.5482 | 2.0 | 58 | 0.6397 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3064 | 3.0 | 87 | 0.3303 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1991 | 4.0 | 116 | 0.2728 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1673 | 5.0 | 145 | 0.2764 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1513 | 6.0 | 174 | 0.3056 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.145 | 7.0 | 203 | 0.2939 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0741 | 8.0 | 232 | 0.2914 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2