---
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: 1.8071

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 33   | 1.0479          |
| No log        | 2.0   | 66   | 0.9240          |
| No log        | 3.0   | 99   | 0.8648          |
| No log        | 4.0   | 132  | 0.8438          |
| No log        | 5.0   | 165  | 0.8455          |
| No log        | 6.0   | 198  | 0.8540          |
| No log        | 7.0   | 231  | 0.8791          |
| No log        | 8.0   | 264  | 0.8509          |
| No log        | 9.0   | 297  | 0.9104          |
| No log        | 10.0  | 330  | 0.9554          |
| No log        | 11.0  | 363  | 0.9345          |
| No log        | 12.0  | 396  | 0.9797          |
| No log        | 13.0  | 429  | 0.9809          |
| No log        | 14.0  | 462  | 1.0556          |
| No log        | 15.0  | 495  | 1.1264          |
| 0.5004        | 16.0  | 528  | 1.1426          |
| 0.5004        | 17.0  | 561  | 1.2255          |
| 0.5004        | 18.0  | 594  | 1.2086          |
| 0.5004        | 19.0  | 627  | 1.2068          |
| 0.5004        | 20.0  | 660  | 1.2919          |
| 0.5004        | 21.0  | 693  | 1.3547          |
| 0.5004        | 22.0  | 726  | 1.3276          |
| 0.5004        | 23.0  | 759  | 1.3597          |
| 0.5004        | 24.0  | 792  | 1.4057          |
| 0.5004        | 25.0  | 825  | 1.4212          |
| 0.5004        | 26.0  | 858  | 1.5188          |
| 0.5004        | 27.0  | 891  | 1.5569          |
| 0.5004        | 28.0  | 924  | 1.5158          |
| 0.5004        | 29.0  | 957  | 1.5191          |
| 0.5004        | 30.0  | 990  | 1.5202          |
| 0.0793        | 31.0  | 1023 | 1.6140          |
| 0.0793        | 32.0  | 1056 | 1.6112          |
| 0.0793        | 33.0  | 1089 | 1.5900          |
| 0.0793        | 34.0  | 1122 | 1.6162          |
| 0.0793        | 35.0  | 1155 | 1.6261          |
| 0.0793        | 36.0  | 1188 | 1.6229          |
| 0.0793        | 37.0  | 1221 | 1.7149          |
| 0.0793        | 38.0  | 1254 | 1.7149          |
| 0.0793        | 39.0  | 1287 | 1.7502          |
| 0.0793        | 40.0  | 1320 | 1.7334          |
| 0.0793        | 41.0  | 1353 | 1.7409          |
| 0.0793        | 42.0  | 1386 | 1.7161          |
| 0.0793        | 43.0  | 1419 | 1.7235          |
| 0.0793        | 44.0  | 1452 | 1.7554          |
| 0.0793        | 45.0  | 1485 | 1.7640          |
| 0.0263        | 46.0  | 1518 | 1.7779          |
| 0.0263        | 47.0  | 1551 | 1.7784          |
| 0.0263        | 48.0  | 1584 | 1.7979          |
| 0.0263        | 49.0  | 1617 | 1.8056          |
| 0.0263        | 50.0  | 1650 | 1.8071          |


### Framework versions

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