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

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# t5-small-finetuned-logjuicer

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8674
- Rouge1: 18.6355
- Rouge2: 12.317
- Rougel: 18.4432
- Rougelsum: 18.4298
- Gen Len: 19.0

## 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: 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 46   | 3.9203          | 7.8841  | 1.7456  | 7.5043  | 7.9956    | 19.0    |
| No log        | 2.0   | 92   | 3.3239          | 7.8589  | 1.7456  | 7.4779  | 7.9585    | 19.0    |
| No log        | 3.0   | 138  | 2.9555          | 7.7528  | 3.0412  | 7.7043  | 7.7184    | 19.0    |
| No log        | 4.0   | 184  | 2.7069          | 8.6355  | 3.8093  | 8.5839  | 8.6118    | 19.0    |
| No log        | 5.0   | 230  | 2.5137          | 8.6983  | 3.9184  | 8.5872  | 8.6149    | 19.0    |
| No log        | 6.0   | 276  | 2.3425          | 11.6364 | 4.355   | 11.1532 | 11.2938   | 19.0    |
| No log        | 7.0   | 322  | 2.2153          | 19.4997 | 5.9307  | 17.2555 | 18.1446   | 19.0    |
| No log        | 8.0   | 368  | 2.1213          | 19.3399 | 6.09    | 17.1197 | 18.0052   | 19.0    |
| No log        | 9.0   | 414  | 2.0448          | 18.6986 | 8.2548  | 17.2942 | 17.7272   | 19.0    |
| No log        | 10.0  | 460  | 1.9893          | 18.3085 | 11.359  | 17.9649 | 17.9785   | 19.0    |
| 2.9395        | 11.0  | 506  | 1.9429          | 18.1059 | 11.6297 | 17.8684 | 17.9266   | 19.0    |
| 2.9395        | 12.0  | 552  | 1.9091          | 18.3172 | 12.0275 | 18.1818 | 18.1678   | 19.0    |
| 2.9395        | 13.0  | 598  | 1.8859          | 18.5764 | 12.2624 | 18.3462 | 18.3067   | 19.0    |
| 2.9395        | 14.0  | 644  | 1.8717          | 18.626  | 12.3128 | 18.4411 | 18.4202   | 19.0    |
| 2.9395        | 15.0  | 690  | 1.8674          | 18.6355 | 12.317  | 18.4432 | 18.4298   | 19.0    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
