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-Finetune-Remarks-Trend
results: []
FLAN-T5-Base-Finetune-Remarks-Trend
This model is a fine-tuned version of google/flan-t5-base on trend remarks dataset. It achieves the following results on the evaluation set:
- Loss: 0.3399
- Rouge1: 36.8734
- Rouge2: 30.0539
- Rougel: 34.3307
- Rougelsum: 34.3313
- Gen Len: 19.0
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 |
|---|---|---|---|---|---|---|---|---|
| 0.4722 | 1.0 | 1124 | 0.3844 | 36.439 | 29.4842 | 34.2141 | 34.2138 | 19.0 |
| 0.4071 | 2.0 | 2248 | 0.3552 | 36.8048 | 30.0131 | 34.2166 | 34.212 | 19.0 |
| 0.3922 | 3.0 | 3372 | 0.3438 | 36.8067 | 29.98 | 34.2816 | 34.2799 | 19.0 |
| 0.3862 | 4.0 | 4496 | 0.3399 | 36.8734 | 30.0539 | 34.3307 | 34.3313 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1