metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: maximo-t5-normalize
results: []
maximo-t5-normalize
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: 1.0064
- Rouge1: 48.6395
- Rouge2: 26.1905
- Rougel: 47.7211
- Rougelsum: 48.1633
- Gen Len: 10.5714
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 | 8 | 2.5594 | 10.2165 | 0.0 | 9.9567 | 10.2165 | 11.0 |
| No log | 2.0 | 16 | 2.0407 | 25.7143 | 14.2857 | 25.7143 | 25.7143 | 6.0 |
| No log | 3.0 | 24 | 1.7822 | 46.0317 | 33.3333 | 46.0317 | 45.7143 | 11.7143 |
| No log | 4.0 | 32 | 1.5058 | 50.3401 | 32.8571 | 49.1156 | 49.932 | 11.0 |
| No log | 5.0 | 40 | 1.2425 | 48.6395 | 26.1905 | 47.7211 | 48.1633 | 11.7143 |
| No log | 6.0 | 48 | 1.1249 | 52.8912 | 33.3333 | 52.2109 | 52.2109 | 13.4286 |
| No log | 7.0 | 56 | 1.0713 | 41.7687 | 21.4286 | 40.9524 | 41.7687 | 9.7143 |
| No log | 8.0 | 64 | 1.0475 | 46.1224 | 21.4286 | 45.1701 | 45.4422 | 10.1429 |
| No log | 9.0 | 72 | 1.0154 | 43.8095 | 16.6667 | 42.7211 | 42.9932 | 10.7143 |
| No log | 10.0 | 80 | 1.0064 | 48.6395 | 26.1905 | 47.7211 | 48.1633 | 10.5714 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0