metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-samsum-01
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: validation
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 39.8989
mt5-small-finetuned-samsum-01
This model is a fine-tuned version of google/mt5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8784
- Rouge1: 39.8989
- Rouge2: 18.4549
- Rougel: 34.2186
- Rougelsum: 37.3438
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.1361 | 1.0 | 1842 | 2.1341 | 35.9845 | 15.146 | 30.819 | 33.4492 |
| 2.5514 | 2.0 | 3684 | 2.0119 | 37.8344 | 16.359 | 32.2541 | 35.4021 |
| 2.3851 | 3.0 | 5526 | 1.9674 | 38.8153 | 17.1048 | 33.2513 | 36.2178 |
| 2.2878 | 4.0 | 7368 | 1.9211 | 39.0649 | 17.5803 | 33.5863 | 36.4784 |
| 2.2202 | 5.0 | 9210 | 1.9016 | 39.5536 | 18.199 | 34.1462 | 37.1727 |
| 2.181 | 6.0 | 11052 | 1.8829 | 39.8724 | 18.1549 | 34.1958 | 37.2659 |
| 2.153 | 7.0 | 12894 | 1.8821 | 39.871 | 18.4563 | 34.2479 | 37.4525 |
| 2.138 | 8.0 | 14736 | 1.8784 | 39.8989 | 18.4549 | 34.2186 | 37.3438 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3