metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-sm-py-stackoverflow
results: []
t5-sm-py-stackoverflow
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0245
- Rouge1: 0.3286
- Rouge2: 0.3124
- Rougel: 0.3279
- Rougelsum: 0.3285
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
0.0637 | 1.0 | 1500 | 0.0283 | 0.3283 | 0.3119 | 0.3275 | 0.3282 |
0.0487 | 2.0 | 3000 | 0.0257 | 0.3287 | 0.3126 | 0.3281 | 0.3287 |
0.0381 | 3.0 | 4500 | 0.0245 | 0.3286 | 0.3124 | 0.3279 | 0.3285 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1