transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:legal_bench base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- legal_bench
metrics:
- rouge
model-index:
- name: legalbench_summarizer
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: legal_bench
      type: legal_bench
      config: consumer_contracts_qa
      split: test
      args: consumer_contracts_qa
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.0029
---

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# legalbench_summarizer

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the legal_bench dataset.
It achieves the following results on the evaluation set:
- Loss: 10.6817
- Rouge1: 0.0029
- Rouge2: 0.0
- Rougel: 0.003
- Rougelsum: 0.003
- 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: 32
- eval_batch_size: 32
- 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   | 1    | 10.8579         | 0.0015 | 0.0    | 0.0016 | 0.0016    | 19.0    |
| No log        | 2.0   | 2    | 10.7719         | 0.0018 | 0.0    | 0.0019 | 0.0019    | 19.0    |
| No log        | 3.0   | 3    | 10.7123         | 0.0033 | 0.0    | 0.0033 | 0.0033    | 19.0    |
| No log        | 4.0   | 4    | 10.6817         | 0.0029 | 0.0    | 0.003  | 0.003     | 19.0    |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
