metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: trained_json_model
results: []
trained_json_model
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9795
- Rouge1: 0.176
- Rouge2: 0.0818
- Rougel: 0.1527
- Rougelsum: 0.1538
- Gen Len: 18.88
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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 3.4146 | 0.1706 | 0.0746 | 0.1408 | 0.1399 | 18.92 |
| No log | 2.0 | 14 | 3.1585 | 0.1633 | 0.0732 | 0.1413 | 0.1411 | 18.8 |
| No log | 3.0 | 21 | 3.0244 | 0.1678 | 0.0785 | 0.1467 | 0.148 | 18.8 |
| No log | 4.0 | 28 | 2.9795 | 0.176 | 0.0818 | 0.1527 | 0.1538 | 18.88 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.15.2