metadata
license: apache-2.0
base_model: Falconsai/text_summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: text_summarization_finetuned2
results: []
text_summarization_finetuned2
This model is a fine-tuned version of Falconsai/text_summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3126
- Rouge1: 0.0675
- Rouge2: 0.0578
- Rougel: 0.0674
- Rougelsum: 0.0674
- Gen Len: 19.0
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.4139 | 1.0 | 2000 | 0.3411 | 0.0632 | 0.0524 | 0.0632 | 0.0632 | 19.0 |
| 0.3635 | 2.0 | 4000 | 0.3215 | 0.0658 | 0.0557 | 0.0658 | 0.0658 | 19.0 |
| 0.348 | 3.0 | 6000 | 0.3146 | 0.0668 | 0.0571 | 0.0668 | 0.0668 | 19.0 |
| 0.3445 | 4.0 | 8000 | 0.3126 | 0.0675 | 0.0578 | 0.0674 | 0.0674 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0