transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t4_f1_prompt_adherence
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-small-asap_t4_f1_prompt_adherence

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0578
- Rouge1: 84.443
- Rouge2: 80.3833
- Rougel: 84.4646
- Rougelsum: 84.4359
- Gen Len: 12.1859

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 266  | 0.0936          | 79.5741 | 73.0518 | 79.6566 | 79.6486   | 12.0859 |
| 0.4018        | 2.0   | 532  | 0.0670          | 83.6269 | 79.3655 | 83.6546 | 83.6338   | 12.1887 |
| 0.4018        | 3.0   | 798  | 0.0596          | 83.4438 | 79.1374 | 83.4652 | 83.5119   | 12.2239 |
| 0.0771        | 4.0   | 1064 | 0.0600          | 84.8381 | 80.8793 | 84.8927 | 84.9041   | 12.1549 |
| 0.0771        | 5.0   | 1330 | 0.0578          | 84.443  | 80.3833 | 84.4646 | 84.4359   | 12.1859 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
