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---
base_model: liamvbetts/t5-small-finetuned-2024-03-19
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-2024-03-20
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. -->
# t5-small-finetuned-2024-03-20
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-19](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-03-19) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9234
- Rouge1: 29.6968
- Rouge2: 15.5967
- Rougel: 25.7424
- Rougelsum: 25.9564
- Gen Len: 18.4459
## 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0445 | 1.0 | 293 | 1.9234 | 29.6968 | 15.5967 | 25.7424 | 25.9564 | 18.4459 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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