---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small-absa-rest
  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-small-absa-rest

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2865

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6057        | 0.52  | 100  | 1.0232          |
| 1.0344        | 1.05  | 200  | 0.4973          |
| 0.7178        | 1.57  | 300  | 0.4004          |
| 0.619         | 2.09  | 400  | 0.3607          |
| 0.5466        | 2.62  | 500  | 0.3492          |
| 0.5277        | 3.14  | 600  | 0.3245          |
| 0.4775        | 3.66  | 700  | 0.3175          |
| 0.4823        | 4.19  | 800  | 0.3090          |
| 0.4406        | 4.71  | 900  | 0.3035          |
| 0.454         | 5.24  | 1000 | 0.2995          |
| 0.4108        | 5.76  | 1100 | 0.2960          |
| 0.4101        | 6.28  | 1200 | 0.2940          |
| 0.4016        | 6.81  | 1300 | 0.2901          |
| 0.3888        | 7.33  | 1400 | 0.2868          |
| 0.3815        | 7.85  | 1500 | 0.2865          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2