metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: meetingbank_qa_summary_model_finetuned_on_reduced_data
results: []
meetingbank_qa_summary_model_finetuned_on_reduced_data
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1261
- Rouge1: 0.1858
- Rouge2: 0.0911
- Rougel: 0.1573
- Rougelsum: 0.1571
- Generated Length: 19.0
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 | 54 | 3.1657 | 0.1818 | 0.0886 | 0.1533 | 0.1532 | 19.0 |
| No log | 2.0 | 108 | 3.1351 | 0.1847 | 0.0909 | 0.1562 | 0.1561 | 19.0 |
| No log | 3.0 | 162 | 3.1261 | 0.1858 | 0.0911 | 0.1573 | 0.1571 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1