metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-updated_data
results: []
flan-t5-base-updated_data
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1855
- Rouge1: 30.1504
- Rouge2: 15.0601
- Rougel: 25.9757
- Rougelsum: 26.4304
- Gen Len: 18.18
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 112 | 2.4245 | 30.8943 | 14.0099 | 26.1186 | 26.6014 | 18.0467 |
| No log | 2.0 | 224 | 2.3033 | 31.2618 | 14.9632 | 26.6116 | 27.0315 | 18.0933 |
| No log | 3.0 | 336 | 2.2369 | 29.9047 | 14.7151 | 25.5824 | 26.0168 | 17.9667 |
| No log | 4.0 | 448 | 2.1954 | 30.2469 | 15.1358 | 26.1566 | 26.5722 | 18.18 |
| 2.45 | 5.0 | 560 | 2.1855 | 30.1504 | 15.0601 | 25.9757 | 26.4304 | 18.18 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0