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---
base_model: liamvbetts/t5-small-finetuned-2024-03-30
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-2024-04-01
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-2024-04-01
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-30](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-03-30) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6678
- Rouge1: 39.0836
- Rouge2: 26.3632
- Rougel: 35.7879
- Rougelsum: 35.8539
- Gen Len: 18.8471
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.507 | 1.0 | 340 | 1.6678 | 39.0836 | 26.3632 | 35.7879 | 35.8539 | 18.8471 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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