---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# FLAN-T5-Base-Finetune-Remarks-Trend

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/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