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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: FinetunedT5Model
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. -->
# FinetunedT5Model
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: 1.6604
- Rouge1: 0.2931
- Rouge2: 0.1635
- Rougel: 0.2526
- Rougelsum: 0.253
- Gen Len: 18.9262
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 38 | 2.0609 | 0.255 | 0.1343 | 0.2236 | 0.2245 | 18.7987 |
| No log | 2.0 | 76 | 1.9133 | 0.2719 | 0.1447 | 0.2388 | 0.2388 | 18.9463 |
| No log | 3.0 | 114 | 1.8280 | 0.2784 | 0.1548 | 0.2433 | 0.2437 | 18.9262 |
| No log | 4.0 | 152 | 1.7742 | 0.2847 | 0.159 | 0.2481 | 0.2485 | 18.9262 |
| No log | 5.0 | 190 | 1.7346 | 0.2866 | 0.1602 | 0.2488 | 0.2492 | 18.9262 |
| No log | 6.0 | 228 | 1.7067 | 0.2888 | 0.162 | 0.25 | 0.2506 | 18.9262 |
| No log | 7.0 | 266 | 1.6846 | 0.2861 | 0.1591 | 0.2482 | 0.2489 | 18.9262 |
| No log | 8.0 | 304 | 1.6712 | 0.2922 | 0.1625 | 0.2528 | 0.2531 | 18.9262 |
| No log | 9.0 | 342 | 1.6629 | 0.293 | 0.1635 | 0.2528 | 0.2532 | 18.9262 |
| No log | 10.0 | 380 | 1.6604 | 0.2931 | 0.1635 | 0.2526 | 0.253 | 18.9262 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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