---
license: apache-2.0
base_model: philschmid/flan-t5-base-samsum
tags:
- generated_from_trainer
model-index:
- name: T5-model
  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. -->

# T5-model

This model is a fine-tuned version of [philschmid/flan-t5-base-samsum](https://huggingface.co/philschmid/flan-t5-base-samsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7008

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1908        | 0.99  | 16   | 0.7740          |
| 1.2204        | 1.98  | 32   | 0.7702          |
| 0.8893        | 2.97  | 48   | 0.7638          |
| 0.9854        | 3.95  | 64   | 0.7557          |
| 0.9287        | 4.94  | 80   | 0.7464          |
| 0.9307        | 5.99  | 97   | 0.7374          |
| 0.8444        | 6.98  | 113  | 0.7272          |
| 0.8131        | 7.97  | 129  | 0.7177          |
| 0.7271        | 8.96  | 145  | 0.7079          |
| 0.8426        | 9.88  | 160  | 0.7008          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3