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library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tmp_test
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. -->
# tmp_test
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: 5.1439
- Rouge1: 0.1156
- Rouge2: 0.0333
- Rougel: 0.0888
- Rougelsum: 0.0888
- 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 1 | 5.3160 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 2.0 | 2 | 5.2821 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 3.0 | 3 | 5.2518 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 4.0 | 4 | 5.2250 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 5.0 | 5 | 5.2018 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 6.0 | 6 | 5.1822 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 7.0 | 7 | 5.1665 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 8.0 | 8 | 5.1553 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 9.0 | 9 | 5.1477 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
| No log | 10.0 | 10 | 5.1439 | 0.1156 | 0.0333 | 0.0888 | 0.0888 | 20.0 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
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