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# my_legal_summarization_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the eur-lex-sum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1064
- Rouge1: 0.2166
- Rouge2: 0.1493
- Rougel: 0.1992
- Rougelsum: 0.1991
- Gen Len: 19.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 71   | 2.3019          | 0.2114 | 0.1485 | 0.1934 | 0.1937    | 19.0    |
| No log        | 2.0   | 142  | 2.1766          | 0.2156 | 0.1508 | 0.1987 | 0.1988    | 19.0    |
| No log        | 3.0   | 213  | 2.1215          | 0.2161 | 0.1499 | 0.1988 | 0.1987    | 19.0    |
| No log        | 4.0   | 284  | 2.1064          | 0.2166 | 0.1493 | 0.1992 | 0.1991    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eur-lex-sum"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_legal_summarization_model", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "eur-lex-sum", "type": "eur-lex-sum", "config": "english", "split": "test", "args": "english"}, "metrics": [{"type": "rouge", "value": 0.2166, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:eur-lex-sum base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us