metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize_01
results: []
summarize_01
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: 0.9303
- Rouge1: 0.008
- Rouge2: 0.0
- Rougel: 0.0081
- Rougelsum: 0.0083
- Gen Len: 19.0
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: 4
- eval_batch_size: 4
- 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 | 250 | 0.9455 | 0.0024 | 0.0 | 0.0024 | 0.0024 | 19.0 |
| 0.994 | 2.0 | 500 | 0.9342 | 0.0093 | 0.0 | 0.0094 | 0.0096 | 19.0 |
| 0.994 | 3.0 | 750 | 0.9298 | 0.0056 | 0.0 | 0.0056 | 0.0056 | 19.0 |
| 0.9256 | 4.0 | 1000 | 0.9303 | 0.008 | 0.0 | 0.0081 | 0.0083 | 19.0 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1