text-sum-3
This model is a fine-tuned version of buianh0803/text-sum-2 on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.6546
- Rouge1: 0.2475
- Rouge2: 0.1177
- Rougel: 0.2051
- Rougelsum: 0.2051
- 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8082 | 1.0 | 17945 | 1.6546 | 0.2475 | 0.1177 | 0.2051 | 0.2051 | 19.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for buianh0803/text-sum-3
Base model
google-t5/t5-small
Finetuned
buianh0803/Text_Summarization
Finetuned
buianh0803/text-sum
Finetuned
buianh0803/text-sum-2