transformers safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-sheldon-chat
  results: []
---

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# t5-base-sheldon-chat

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5988
- Rouge1: 9.7407
- Rouge2: 1.9252
- Rougel: 9.2148
- Rougelsum: 9.3917
- Gen Len: 12.3466

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0866        | 1.0   | 2902 | 2.8205          | 8.7518 | 1.7718 | 8.3985 | 8.4501    | 9.5291  |
| 2.8627        | 2.0   | 5804 | 2.6565          | 9.9048 | 2.0274 | 9.341  | 9.5101    | 12.2791 |
| 2.7773        | 3.0   | 8706 | 2.5988          | 9.7407 | 1.9252 | 9.2148 | 9.3917    | 12.3466 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.15.2
