transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results2
  results: []
---

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# results2

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0082
- Rouge1: 0.2
- Rouge2: 0.0
- Rougel: 0.2
- Rougelsum: 0.2

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 5    | 4.1587          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 2.0   | 10   | 3.9220          | 0.2    | 0.0    | 0.2    | 0.2       |
| No log        | 3.0   | 15   | 3.9029          | 0.2    | 0.0    | 0.2    | 0.2       |
| No log        | 4.0   | 20   | 3.9380          | 0.2    | 0.0    | 0.2    | 0.2       |
| No log        | 5.0   | 25   | 3.9846          | 0.2    | 0.0    | 0.2    | 0.2       |
| No log        | 6.0   | 30   | 4.0082          | 0.2    | 0.0    | 0.2    | 0.2       |


### Framework versions

- Transformers 4.27.2
- Pytorch 2.1.1
- Datasets 2.11.0
- Tokenizers 0.13.3
