t5-small-finetuned-eli5-neel-final
This model is a fine-tuned version of t5-small on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.5993
- Rouge1: 15.1409
- Rouge2: 2.1615
- Rougel: 12.7532
- Rougelsum: 13.9849
- Gen Len: 18.9998
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: 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 |
|---|---|---|---|---|---|---|---|---|
| 3.8014 | 1.0 | 17040 | 3.5993 | 15.1409 | 2.1615 | 12.7532 | 13.9849 | 18.9998 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- 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.