---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
datasets:
- eur-lex-sum
model-index:
- name: T5_no_extraction_V1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_no_extraction_V1

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the eur-lex-sum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4511

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.3854        | 1.0   | 69   | 4.0580          |
| 3.6609        | 2.0   | 138  | 3.1814          |
| 3.1288        | 3.0   | 207  | 2.8681          |
| 2.8599        | 4.0   | 276  | 2.7148          |
| 2.6823        | 5.0   | 345  | 2.6240          |
| 2.5613        | 6.0   | 414  | 2.5674          |
| 2.4737        | 7.0   | 483  | 2.5317          |
| 2.4           | 8.0   | 552  | 2.5075          |
| 2.3408        | 9.0   | 621  | 2.4859          |
| 2.2871        | 10.0  | 690  | 2.4718          |
| 2.242         | 11.0  | 759  | 2.4634          |
| 2.202         | 12.0  | 828  | 2.4565          |
| 2.1608        | 13.0  | 897  | 2.4491          |
| 2.1254        | 14.0  | 966  | 2.4462          |
| 2.0915        | 15.0  | 1035 | 2.4464          |
| 2.0628        | 16.0  | 1104 | 2.4454          |
| 2.03          | 17.0  | 1173 | 2.4398          |
| 2.0056        | 18.0  | 1242 | 2.4419          |
| 1.9766        | 19.0  | 1311 | 2.4435          |
| 1.9554        | 20.0  | 1380 | 2.4457          |
| 1.9353        | 21.0  | 1449 | 2.4470          |
| 1.9126        | 22.0  | 1518 | 2.4511          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1