---
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: 0.7013

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9849        | 0.8   | 10   | 0.8062          |
| 0.9748        | 1.61  | 20   | 0.8026          |
| 0.9772        | 2.41  | 30   | 0.7968          |
| 0.979         | 3.22  | 40   | 0.7889          |
| 0.9729        | 4.02  | 50   | 0.7793          |
| 0.9479        | 4.82  | 60   | 0.7687          |
| 0.9111        | 5.63  | 70   | 0.7577          |
| 0.8956        | 6.43  | 80   | 0.7460          |
| 0.8768        | 7.24  | 90   | 0.7338          |
| 0.8566        | 8.04  | 100  | 0.7224          |
| 0.8342        | 8.84  | 110  | 0.7120          |
| 0.8273        | 9.65  | 120  | 0.7013          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3