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library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: google-t5-summarizer
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. -->
# google-t5-summarizer
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: 2.3654
- Rouge1: 0.1892
- Rouge2: 0.0938
- Rougel: 0.1604
- Rougelsum: 0.1604
- Gen Len: 20.0
## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 124 | 2.6000 | 0.1394 | 0.0499 | 0.1158 | 0.1159 | 20.0 |
| No log | 2.0 | 248 | 2.4289 | 0.1666 | 0.0747 | 0.1407 | 0.1404 | 20.0 |
| No log | 3.0 | 372 | 2.3809 | 0.1846 | 0.09 | 0.1562 | 0.1562 | 20.0 |
| No log | 4.0 | 496 | 2.3654 | 0.1892 | 0.0938 | 0.1604 | 0.1604 | 20.0 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0
- Datasets 4.2.0
- Tokenizers 0.22.1
|