---
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-Bar
  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-Bar

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on individual remarks dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6775
- Rouge1: 38.4803
- Rouge2: 22.0178
- Rougel: 31.4848
- Rougelsum: 31.4757
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.9766        | 1.0   | 1125 | 0.7627          | 38.7818 | 21.7574 | 31.4008 | 31.3835   | 19.0    |
| 0.864         | 2.0   | 2250 | 0.7055          | 38.2489 | 21.7373 | 31.1157 | 31.1052   | 19.0    |
| 0.8192        | 3.0   | 3375 | 0.6831          | 38.7844 | 22.1673 | 31.5798 | 31.5805   | 19.0    |
| 0.7974        | 4.0   | 4500 | 0.6775          | 38.4803 | 22.0178 | 31.4848 | 31.4757   | 19.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1