---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-sentiment-product-review
  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-sentiment-product-review

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7289

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 33   | 0.9448          |
| No log        | 2.0   | 66   | 0.8057          |
| No log        | 3.0   | 99   | 0.7425          |
| No log        | 4.0   | 132  | 0.7366          |
| No log        | 5.0   | 165  | 0.7197          |
| No log        | 6.0   | 198  | 0.7111          |
| No log        | 7.0   | 231  | 0.6990          |
| No log        | 8.0   | 264  | 0.7347          |
| No log        | 9.0   | 297  | 0.7234          |
| No log        | 10.0  | 330  | 0.7289          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0