|
---
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
base_model: t5-small
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: t5-small-finetuned-xsum
|
|
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-xsum
|
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
|
|
|
|
## 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: 2e-05
|
|
- train_batch_size: 16
|
|
- eval_batch_size: 16
|
|
- 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: 1
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
|
|
| No log | 1.0 | 1 | 4.5099 | 21.3714 | 12.4743 | 18.5076 | 19.6605 | 19.0 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.46.2
|
|
- Pytorch 2.5.1+cpu
|
|
- Datasets 3.1.0
|
|
- Tokenizers 0.20.3
|
|
|
