metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small_rouge_finetuned_sbic
results: []
t5-small_rouge_finetuned_sbic
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0640
- Rouge1: 77.8685
- Rouge2: 74.5217
- Rougel: 77.8247
- Rougelsum: 77.8156
- 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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0809 | 0.5 | 1000 | 0.0727 | 76.9035 | 72.8715 | 76.8453 | 76.84 | 19.0 |
| 0.0745 | 1.01 | 2000 | 0.0685 | 77.4372 | 73.7627 | 77.4008 | 77.3853 | 19.0 |
| 0.0739 | 1.51 | 3000 | 0.0659 | 77.8732 | 74.4368 | 77.8305 | 77.8222 | 19.0 |
| 0.0725 | 2.01 | 4000 | 0.0647 | 77.8991 | 74.4654 | 77.8536 | 77.8484 | 19.0 |
| 0.0696 | 2.51 | 5000 | 0.0640 | 77.8685 | 74.5217 | 77.8247 | 77.8156 | 19.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1