---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-base-customer-sentiment
  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-customer-sentiment

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: 0.5726
- Accuracy: 86.8217
- Gen Len: 1.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| No log        | 1.0   | 113  | 1.2439          | 87.3385  | 1.0     |
| No log        | 2.0   | 226  | 0.5994          | 86.5633  | 1.0     |
| No log        | 3.0   | 339  | 0.5726          | 86.8217  | 1.0     |
| No log        | 4.0   | 452  | 0.6687          | 87.8553  | 1.0     |
| 0.3089        | 5.0   | 565  | 0.7585          | 87.8553  | 1.0     |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.12.0+cu116
- Datasets 2.11.0
- Tokenizers 0.13.3