metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_model
results: []
my_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0550
- Rouge1: 0.4076
- Rouge2: 0.2169
- Rougel: 0.3655
- Rougelsum: 0.3654
- Gen Len: 14.4845
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3027 | 1.0 | 6750 | 2.1348 | 0.3964 | 0.2084 | 0.3554 | 0.3552 | 14.5291 |
| 2.2589 | 2.0 | 13500 | 2.0818 | 0.4021 | 0.2127 | 0.3603 | 0.3602 | 14.6178 |
| 2.227 | 3.0 | 20250 | 2.0605 | 0.4067 | 0.2167 | 0.365 | 0.3649 | 14.4537 |
| 2.2137 | 4.0 | 27000 | 2.0550 | 0.4076 | 0.2169 | 0.3655 | 0.3654 | 14.4845 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3