metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: maximo-t5-chat
results: []
maximo-t5-chat
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1443
- Rouge1: 27.8954
- Rouge2: 7.9325
- Rougel: 27.8954
- Rougelsum: 27.0723
- Gen Len: 12.5
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 3 | 2.8565 | 15.4762 | 2.439 | 15.0794 | 15.4762 | 16.1667 |
| No log | 2.0 | 6 | 2.5544 | 13.0291 | 2.439 | 12.6323 | 13.0291 | 16.1667 |
| No log | 3.0 | 9 | 2.4527 | 14.6825 | 2.439 | 14.2857 | 14.2857 | 10.8333 |
| No log | 4.0 | 12 | 2.3570 | 20.2381 | 2.439 | 19.8413 | 19.8413 | 11.1667 |
| No log | 5.0 | 15 | 2.2745 | 27.1017 | 7.9325 | 27.1017 | 26.2787 | 11.3333 |
| No log | 6.0 | 18 | 2.2170 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 13.1667 |
| No log | 7.0 | 21 | 2.1860 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.6667 |
| No log | 8.0 | 24 | 2.1568 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.5 |
| No log | 9.0 | 27 | 2.1445 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.5 |
| No log | 10.0 | 30 | 2.1443 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.5 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0