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

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5091
- Rouge1: 0.3626
- Rouge2: 0.1277
- Rougel: 0.3026
- Rougelsum: 0.3025
- Gen Len: 18.818

## 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7341        | 1.0   | 779  | 1.6330          | 0.3367 | 0.102  | 0.2786 | 0.2784    | 18.802  |
| 1.4962        | 2.0   | 1558 | 1.5773          | 0.3461 | 0.1095 | 0.2848 | 0.2845    | 18.832  |
| 1.4727        | 3.0   | 2337 | 1.5615          | 0.3508 | 0.1169 | 0.2923 | 0.2921    | 18.786  |
| 1.4291        | 4.0   | 3116 | 1.5377          | 0.3544 | 0.1184 | 0.2945 | 0.2941    | 18.756  |
| 1.4146        | 5.0   | 3895 | 1.5317          | 0.355  | 0.1205 | 0.2955 | 0.2953    | 18.774  |
| 1.3913        | 6.0   | 4674 | 1.5183          | 0.3592 | 0.1247 | 0.3009 | 0.3007    | 18.794  |
| 1.3877        | 7.0   | 5453 | 1.5153          | 0.3611 | 0.1252 | 0.3009 | 0.3008    | 18.806  |
| 1.3744        | 8.0   | 6232 | 1.5105          | 0.3635 | 0.1284 | 0.303  | 0.3029    | 18.812  |
| 1.3627        | 9.0   | 7011 | 1.5106          | 0.3644 | 0.1291 | 0.3038 | 0.3037    | 18.824  |
| 1.3624        | 10.0  | 7790 | 1.5091          | 0.3626 | 0.1277 | 0.3026 | 0.3025    | 18.818  |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
