metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- indosum
metrics:
- rouge
model-index:
- name: my_awesome_indosum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: indosum
type: indosum
config: indosum_fold0_source
split: test
args: indosum_fold0_source
metrics:
- name: Rouge1
type: rouge
value: 0.1739
my_awesome_indosum_model
This model is a fine-tuned version of t5-small on the indosum dataset. It achieves the following results on the evaluation set:
- Loss: 0.9401
- Rouge1: 0.1739
- Rouge2: 0.1376
- Rougel: 0.1741
- Rougelsum: 0.1737
- Gen Len: 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 19 | 1.3632 | 0.1491 | 0.1079 | 0.1489 | 0.1485 | 19.0 |
| No log | 2.0 | 38 | 1.0416 | 0.1676 | 0.1255 | 0.1674 | 0.1661 | 19.0 |
| No log | 3.0 | 57 | 0.9622 | 0.1735 | 0.1357 | 0.1733 | 0.1727 | 19.0 |
| No log | 4.0 | 76 | 0.9401 | 0.1739 | 0.1376 | 0.1741 | 0.1737 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0