metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum-tiny
results: []
flan-t5-base-samsum-tiny
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: 1.5151
- Rouge1: 47.0543
- Rouge2: 23.0375
- Rougel: 39.1234
- Rougelsum: 42.8088
- Gen Len: 17.68
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 13 | 1.5191 | 46.3463 | 23.0242 | 39.6192 | 42.4292 | 16.76 |
| No log | 2.0 | 26 | 1.5157 | 46.7915 | 22.7085 | 39.3789 | 42.7189 | 17.26 |
| No log | 3.0 | 39 | 1.5151 | 47.0543 | 23.0375 | 39.1234 | 42.8088 | 17.68 |
| No log | 4.0 | 52 | 1.5185 | 46.4955 | 22.6122 | 38.2357 | 42.3003 | 17.57 |
| No log | 5.0 | 65 | 1.5198 | 46.5658 | 22.6509 | 38.3667 | 42.5244 | 17.59 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1