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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: summarization_model
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. -->
# summarization_model
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: 2.5063
- Rouge1: 0.1509
- Rouge2: 0.056
- Rougel: 0.124
- Rougelsum: 0.1243
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 62 | 2.7890 | 0.1382 | 0.0435 | 0.1136 | 0.1139 | 20.0 |
| No log | 2.0 | 124 | 2.5839 | 0.1486 | 0.0533 | 0.1223 | 0.1221 | 20.0 |
| No log | 3.0 | 186 | 2.5227 | 0.1512 | 0.0565 | 0.1241 | 0.1245 | 20.0 |
| No log | 4.0 | 248 | 2.5063 | 0.1509 | 0.056 | 0.124 | 0.1243 | 20.0 |
### Framework versions
- Transformers 4.53.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
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