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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-vehidefe
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. -->
# t5-small-finetuned-vehidefe
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: 1.2321
- Rouge1: 0.5062
- Rouge2: 0.129
- Rougel: 0.4421
- Rougelsum: 0.4549
- Gen Len: 0.6333
## 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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 27 | 6.3138 | 52.0293 | 34.0296 | 48.1309 | 48.2154 | 15.7417 |
| No log | 2.0 | 54 | 2.5506 | 38.203 | 24.615 | 35.4364 | 35.5338 | 12.3 |
| No log | 3.0 | 81 | 1.4362 | 9.2948 | 5.4495 | 8.4841 | 8.6202 | 4.4583 |
| No log | 4.0 | 108 | 1.2562 | 2.9686 | 1.4036 | 2.6236 | 2.7085 | 1.8917 |
| No log | 5.0 | 135 | 1.2336 | 0.9124 | 0.248 | 0.8012 | 0.8077 | 0.95 |
| No log | 6.0 | 162 | 1.2321 | 0.5062 | 0.129 | 0.4421 | 0.4549 | 0.6333 |
### Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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