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_f2_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_f2_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: 0.0621
- Rouge1: 82.6646
- Rouge2: 78.018
- Rougel: 82.6132
- Rougelsum: 82.6206
- Gen Len: 12.1479

## 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  | 0.0875          | 79.5052 | 73.4411 | 79.5255 | 79.4473   | 12.2169 |
| 0.396         | 2.0   | 532  | 0.0694          | 80.9177 | 75.9474 | 80.9177 | 80.8659   | 12.1817 |
| 0.396         | 3.0   | 798  | 0.0619          | 82.55   | 77.8505 | 82.5292 | 82.4624   | 12.1437 |
| 0.0734        | 4.0   | 1064 | 0.0611          | 82.5957 | 77.9529 | 82.5931 | 82.5353   | 12.1380 |
| 0.0734        | 5.0   | 1330 | 0.0621          | 82.6646 | 78.018  | 82.6132 | 82.6206   | 12.1479 |


### Framework versions

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