metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
- NLP
- text-to-text
- Summarization
metrics:
- rouge
model-index:
- name: MTSUFall2024SoftwareEngineering
results: []
datasets:
- MTSUFall2024SoftwareEngineering/UnitedStatesSenateBillsAndSummaries
language:
- en
MTSUFall2024SoftwareEngineering
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9830
- Rouge1: 0.2539
- Rouge2: 0.201
- Rougel: 0.2469
- Rougelsum: 0.2469
- Gen Len: 18.9996
Model description
More information needed
Intended uses & limitations
Used for Middle Tennessee State University's Software Engineering Fall 2024 class.
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: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7481 | 1.0 | 749 | 2.1062 | 0.2552 | 0.1993 | 0.2475 | 0.2475 | 18.9996 |
| 2.3354 | 2.0 | 1498 | 2.0224 | 0.2531 | 0.2 | 0.246 | 0.246 | 18.9996 |
| 2.2351 | 3.0 | 2247 | 1.9929 | 0.2542 | 0.2011 | 0.2471 | 0.247 | 18.9996 |
| 2.193 | 4.0 | 2996 | 1.9830 | 0.2539 | 0.201 | 0.2469 | 0.2469 | 18.9996 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1