Flant5_Complaint / README.md
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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: Flant5_Complaint
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. -->
# Flant5_Complaint
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1839
## 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: 32
- eval_batch_size: 32
- 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 | 159 | 0.1390 |
| No log | 2.0 | 318 | 0.1345 |
| No log | 3.0 | 477 | 0.1320 |
| 0.1669 | 4.0 | 636 | 0.1397 |
| 0.1669 | 5.0 | 795 | 0.1503 |
| 0.1669 | 6.0 | 954 | 0.1546 |
| 0.0764 | 7.0 | 1113 | 0.1623 |
| 0.0764 | 8.0 | 1272 | 0.1694 |
| 0.0764 | 9.0 | 1431 | 0.1789 |
| 0.0518 | 10.0 | 1590 | 0.1839 |
### Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1