transformers safetensors t5 text2text-generation generated_from_trainer dataset:samsum base_model:google-t5/t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: samsum_4208_t5-base
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: validation
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.4623
---

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# samsum_4208_t5-base

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4620
- Rouge1: 0.4623
- Rouge2: 0.2242
- Rougel: 0.3862
- Rougelsum: 0.3863
- Gen Len: 17.1125

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.5165        | 4.34  | 500  | 0.4806          | 0.4526 | 0.2142 | 0.3757 | 0.3761    | 17.22   |
| 0.4697        | 8.69  | 1000 | 0.4620          | 0.4623 | 0.2242 | 0.3862 | 0.3863    | 17.1125 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
