base_model: liamvbetts/t5-small-finetuned-2024-03-16 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: t5-small-finetuned-2024-03-17 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# t5-small-finetuned-2024-03-17 | |
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-16](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-03-16) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.6870 | |
- Rouge1: 36.9896 | |
- Rouge2: 24.6597 | |
- Rougel: 32.6752 | |
- Rougelsum: 32.6582 | |
- Gen Len: 18.8143 | |
## 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 | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| 1.9296 | 1.0 | 276 | 1.6870 | 36.9896 | 24.6597 | 32.6752 | 32.6582 | 18.8143 | | |
### Framework versions | |
- Transformers 4.39.3 | |
- Pytorch 2.2.1+cu121 | |
- Datasets 2.18.0 | |
- Tokenizers 0.15.2 | |