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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: subset_model_t5
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. -->
# subset_model_t5
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: 1.7052
- Rouge1: 0.1
- Rouge2: 0.0
- Rougel: 0.1
- Rougelsum: 0.1
- Gen Len: 19.0
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 1 | 1.8253 | 0.1 | 0.0 | 0.1 | 0.1 | 19.0 |
| No log | 2.0 | 2 | 1.7629 | 0.1 | 0.0 | 0.1 | 0.1 | 19.0 |
| No log | 3.0 | 3 | 1.7243 | 0.1 | 0.0 | 0.1 | 0.1 | 19.0 |
| No log | 4.0 | 4 | 1.7052 | 0.1 | 0.0 | 0.1 | 0.1 | 19.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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