---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-Clakmann-thesis-epoch10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-Clakmann-thesis-epoch10

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5727
- Rouge1: 0.2268
- Rouge2: 0.0853
- Rougel: 0.215
- Rougelsum: 0.2157
- Gen Len: 14.2621

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8844        | 1.0   | 5029  | 1.6766          | 0.2148 | 0.0756 | 0.2044 | 0.2045    | 13.7397 |
| 1.7073        | 2.0   | 10058 | 1.6168          | 0.2196 | 0.0792 | 0.2099 | 0.2102    | 13.8238 |
| 1.6487        | 3.0   | 15087 | 1.5948          | 0.2199 | 0.0794 | 0.209  | 0.2091    | 14.3399 |
| 1.5773        | 4.0   | 20116 | 1.5800          | 0.2252 | 0.0816 | 0.2157 | 0.2164    | 13.9383 |
| 1.5114        | 5.0   | 25145 | 1.5770          | 0.2229 | 0.0798 | 0.212  | 0.2126    | 14.2567 |
| 1.4688        | 6.0   | 30174 | 1.5703          | 0.2255 | 0.0848 | 0.2158 | 0.2164    | 13.9973 |
| 1.4283        | 7.0   | 35203 | 1.5673          | 0.2237 | 0.0834 | 0.2125 | 0.2129    | 14.0966 |
| 1.4166        | 8.0   | 40232 | 1.5702          | 0.2276 | 0.0866 | 0.2153 | 0.2159    | 14.3453 |
| 1.3978        | 9.0   | 45261 | 1.5706          | 0.2274 | 0.0864 | 0.216  | 0.2166    | 14.2272 |
| 1.3688        | 10.0  | 50290 | 1.5727          | 0.2268 | 0.0853 | 0.215  | 0.2157    | 14.2621 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3