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---
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