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library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: classification
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. -->
# classification
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2399
- Rouge1: 86.2698
- Rouge2: 63.1746
- Rougel: 86.2698
- Rougelsum: 86.2698
- Gen Len: 2.7540
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 315 | 0.2980 | 84.2857 | 59.8413 | 84.2857 | 84.3651 | 2.7635 |
| 0.405 | 2.0 | 630 | 0.2399 | 86.2698 | 63.1746 | 86.2698 | 86.2698 | 2.7540 |
| 0.405 | 3.0 | 945 | 0.3172 | 85.7143 | 65.7143 | 85.7143 | 85.7143 | 2.8111 |
| 0.1669 | 4.0 | 1260 | 0.3197 | 86.5079 | 64.6032 | 86.5079 | 86.5873 | 2.7762 |
| 0.1291 | 5.0 | 1575 | 0.3394 | 85.3968 | 65.2381 | 85.3175 | 85.4762 | 2.8 |
### Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.20.0
- Tokenizers 0.21.0
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