metadata
license: apache-2.0
base_model: philschmid/flan-t5-base-samsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum-spotify-podcasts
results: []
flan-t5-base-samsum-spotify-podcasts
This model is a fine-tuned version of philschmid/flan-t5-base-samsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3026
- Rouge1: 0.27
- Rouge2: 0.1512
- Rougel: 0.2352
- Rougelsum: 0.2355
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 233 | 1.3963 | 0.2419 | 0.1266 | 0.2079 | 0.2077 | 19.0 |
| No log | 2.0 | 466 | 1.3356 | 0.2637 | 0.1432 | 0.2265 | 0.2263 | 19.0 |
| 1.6496 | 3.0 | 699 | 1.3088 | 0.2695 | 0.1491 | 0.2331 | 0.2331 | 19.0 |
| 1.6496 | 4.0 | 932 | 1.3026 | 0.27 | 0.1512 | 0.2352 | 0.2355 | 19.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1