metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: trained_model
results: []
trained_model
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0259
- Rouge2: 0.0047
- Rougel: 0.0256
- Rougelsum: 0.0255
- Gen Len: 17.1436
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: 16
- eval_batch_size: 16
- 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 | 252 | nan | 0.0259 | 0.0047 | 0.0256 | 0.0255 | 17.1436 |
| 0.0 | 2.0 | 504 | nan | 0.0259 | 0.0047 | 0.0256 | 0.0255 | 17.1436 |
| 0.0 | 3.0 | 756 | nan | 0.0259 | 0.0047 | 0.0256 | 0.0255 | 17.1436 |
| 0.0 | 4.0 | 1008 | nan | 0.0259 | 0.0047 | 0.0256 | 0.0255 | 17.1436 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1