metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: mt5-small-finetuned_samsum_summarization_model
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: 38.4852
mt5-small-finetuned_samsum_summarization_model
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: 2.0164
- Rouge1: 38.4852
- Rouge2: 16.4292
- Rougel: 32.9585
- Rougelsum: 36.0185
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.9849 | 1.0 | 1050 | 2.2071 | 34.8128 | 14.0544 | 29.8982 | 32.2776 |
| 2.7097 | 2.0 | 2100 | 2.1157 | 37.7348 | 15.9587 | 32.2724 | 35.2982 |
| 2.5305 | 3.0 | 3150 | 2.0553 | 38.4581 | 16.4518 | 32.7643 | 35.936 |
| 2.451 | 4.0 | 4200 | 2.0253 | 38.3972 | 16.3508 | 32.7684 | 35.9072 |
| 2.4132 | 5.0 | 5250 | 2.0164 | 38.4852 | 16.4292 | 32.9585 | 36.0185 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0