metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-finetuned
results: []
flan-t5-base-finetuned
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: 1.3234
- Rouge1: 0.3467
- Rouge2: 0.2667
- Rougel: 0.3179
- Rougelsum: 0.3263
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 1.6712 | 0.3464 | 0.2671 | 0.3219 | 0.3273 |
| No log | 2.0 | 90 | 1.4640 | 0.3475 | 0.2752 | 0.3257 | 0.3314 |
| No log | 3.0 | 135 | 1.3674 | 0.3465 | 0.2689 | 0.3220 | 0.3284 |
| No log | 4.0 | 180 | 1.3237 | 0.3463 | 0.2678 | 0.3191 | 0.3268 |
| No log | 5.0 | 225 | 1.3234 | 0.3467 | 0.2667 | 0.3179 | 0.3263 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2