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---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_sum_finetuned
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_sum_finetuned
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3362
- Rouge1: 0.4154
- Rouge2: 0.1753
- Rougel: 0.2649
- Rougelsum: 0.2649
- Gen Len: 282.3387
## 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: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| No log | 1.0 | 124 | 2.4013 | 0.4053 | 0.1691 | 0.2482 | 0.2483 | 258.871 |
| No log | 2.0 | 248 | 2.3594 | 0.4097 | 0.173 | 0.2596 | 0.2596 | 279.121 |
| No log | 3.0 | 372 | 2.3435 | 0.416 | 0.1757 | 0.2663 | 0.2661 | 284.6048 |
| No log | 4.0 | 496 | 2.3362 | 0.4154 | 0.1753 | 0.2649 | 0.2649 | 282.3387 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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