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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# test-dialogue-summarization

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3647
- Rouge1: 43.7125
- Rouge2: 20.8696
- Rougel: 20.4726
- Rougelsum: 20.4726
- Gen Len: 15.005

## 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: 2e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.9658        | 1.0   | 186  | 2.6549          | 47.8375 | 19.6224 | 19.3309 | 19.3309   | 15.65   |
| 2.8292        | 2.0   | 372  | 2.5659          | 46.3424 | 19.6335 | 20.017  | 20.017    | 14.965  |
| 2.7598        | 3.0   | 558  | 2.5190          | 45.6451 | 19.7504 | 20.0363 | 20.0363   | 15.07   |
| 2.6531        | 4.0   | 744  | 2.4796          | 45.0646 | 19.649  | 19.6929 | 19.6929   | 14.9    |
| 2.5946        | 5.0   | 930  | 2.4526          | 44.0678 | 19.4902 | 20.0463 | 20.0463   | 15.01   |
| 2.5868        | 6.0   | 1116 | 2.4340          | 44.7027 | 19.7504 | 20.0391 | 20.0391   | 14.765  |
| 2.5896        | 7.0   | 1302 | 2.4179          | 44.5941 | 19.8653 | 20.0073 | 20.0073   | 14.745  |
| 2.5626        | 8.0   | 1488 | 2.3981          | 44.6259 | 19.9902 | 20.3022 | 20.3022   | 15.1    |
| 2.4633        | 9.0   | 1674 | 2.3921          | 44.6047 | 20.4376 | 20.3104 | 20.3104   | 14.97   |
| 2.5217        | 10.0  | 1860 | 2.3826          | 44.2188 | 19.9486 | 20.3353 | 20.3353   | 14.995  |
| 2.48          | 11.0  | 2046 | 2.3766          | 44.4635 | 20.6357 | 20.3618 | 20.3618   | 14.99   |
| 2.4502        | 12.0  | 2232 | 2.3723          | 44.0093 | 20.7614 | 20.3647 | 20.3647   | 14.995  |
| 2.4946        | 13.0  | 2418 | 2.3677          | 43.8165 | 20.947  | 20.4526 | 20.4526   | 15.035  |
| 2.4372        | 14.0  | 2604 | 2.3651          | 44.0221 | 20.9248 | 20.5763 | 20.5763   | 14.92   |
| 2.4606        | 15.0  | 2790 | 2.3647          | 43.7125 | 20.8696 | 20.4726 | 20.4726   | 15.005  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
