metadata
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: deed-summarization_version_3
results: []
deed-summarization_version_3
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6086
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 56.8362
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.5903 | 1.0 | 232 | 3.5371 | 0.0 | 0.0 | 0.0 | 0.0 | 35.1659 |
| 2.577 | 2.0 | 464 | 2.2487 | 0.0 | 0.0 | 0.0 | 0.0 | 49.875 |
| 1.6168 | 3.0 | 696 | 1.8681 | 0.0 | 0.0 | 0.0 | 0.0 | 58.2522 |
| 1.7148 | 4.0 | 928 | 1.6086 | 0.0 | 0.0 | 0.0 | 0.0 | 56.8362 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1