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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results2
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. -->
# results2
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: 1.2266
- Rouge1: 0.2682
- Rouge2: 0.1194
- Rougel: 0.2208
- Rougelsum: 0.221
- Gen Len: 154.5226
## 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| 2.6515 | 1.0 | 718 | 1.5195 | 0.0099 | 0.0025 | 0.0087 | 0.0086 | 11.3189 |
| 1.731 | 2.0 | 1436 | 1.3920 | 0.1689 | 0.05 | 0.1367 | 0.1366 | 138.9988 |
| 1.5415 | 3.0 | 2154 | 1.3232 | 0.206 | 0.0601 | 0.1642 | 0.1642 | 153.786 |
| 1.4993 | 4.0 | 2872 | 1.2865 | 0.2082 | 0.0622 | 0.1651 | 0.1651 | 151.953 |
| 1.4502 | 5.0 | 3590 | 1.2640 | 0.2366 | 0.087 | 0.1883 | 0.1884 | 153.7628 |
| 1.4226 | 6.0 | 4308 | 1.2491 | 0.2526 | 0.1083 | 0.2053 | 0.2057 | 154.0902 |
| 1.4175 | 7.0 | 5026 | 1.2385 | 0.2654 | 0.1183 | 0.2168 | 0.2171 | 152.6171 |
| 1.3855 | 8.0 | 5744 | 1.2319 | 0.2661 | 0.118 | 0.2184 | 0.2185 | 153.4085 |
| 1.3956 | 9.0 | 6462 | 1.2279 | 0.2685 | 0.1194 | 0.2207 | 0.2208 | 154.528 |
| 1.3978 | 10.0 | 7180 | 1.2266 | 0.2682 | 0.1194 | 0.2208 | 0.221 | 154.5226 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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