metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-openbsd-faq
results: []
flan-t5-base-openbsd-faq
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: 2.2385
- Rouge1: 0.3935
- Rouge2: 0.3383
- Rougel: 0.3906
- Rougelsum: 0.3844
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 | 9 | 2.2184 | 0.3985 | 0.3308 | 0.3878 | 0.3902 |
| No log | 2.0 | 18 | 2.2060 | 0.4044 | 0.3231 | 0.3959 | 0.3937 |
| No log | 3.0 | 27 | 2.2271 | 0.4063 | 0.3315 | 0.4006 | 0.3971 |
| No log | 4.0 | 36 | 2.2251 | 0.4069 | 0.3366 | 0.4001 | 0.3937 |
| No log | 5.0 | 45 | 2.2385 | 0.3935 | 0.3383 | 0.3906 | 0.3844 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0