metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-lable_model_1
results: []
flan-t5-base-lable_model_1
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: 0.0517
- Rouge1: 95.1613
- Rouge2: 0.0
- Rougel: 95.1613
- Rougelsum: 95.1613
- Gen Len: 4.3871
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 18 | 0.0815 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 2.0 | 36 | 0.0740 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 3.0 | 54 | 0.0757 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 4.0 | 72 | 0.0542 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 5.0 | 90 | 0.0517 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 6.0 | 108 | 0.0519 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 7.0 | 126 | 0.0637 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
No log | 8.0 | 144 | 0.0688 | 95.1613 | 0.0 | 95.1613 | 95.1613 | 4.3871 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1