metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_Fine_Tuned_on_Arxiv_Dataset
results: []
T5_Fine_Tuned_on_Arxiv_Dataset
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7599
- Rouge1: 0.1635
- Rouge2: 0.0548
- Rougel: 0.1311
- Rougelsum: 0.1311
- Generated Length: 18.9852
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 305 | 2.8130 | 0.1569 | 0.05 | 0.1256 | 0.1255 | 18.9852 |
| 3.0803 | 2.0 | 610 | 2.7704 | 0.1634 | 0.0546 | 0.1312 | 0.1311 | 18.9852 |
| 3.0803 | 3.0 | 915 | 2.7599 | 0.1635 | 0.0548 | 0.1311 | 0.1311 | 18.9852 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1