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

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# flan-t5-base-sheldon-chat

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5021
- Rouge1: 9.2255
- Rouge2: 1.7498
- Rougel: 8.7322
- Rougelsum: 8.7224
- Gen Len: 13.9771

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0041        | 1.0   | 2902 | 2.7134          | 8.9179 | 1.7759 | 8.4354 | 8.3692    | 13.6702 |
| 2.7806        | 2.0   | 5804 | 2.5558          | 9.4222 | 1.713  | 8.8035 | 8.8291    | 14.9178 |
| 2.6937        | 3.0   | 8706 | 2.5021          | 9.2255 | 1.7498 | 8.7322 | 8.7224    | 13.9771 |


### Framework versions

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