metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: t5-small-t5-dialogue-summarizer
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: 41.7031
t5-small-t5-dialogue-summarizer
This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7687
- Rouge1: 41.7031
- Rouge2: 18.7783
- Rougel: 35.1492
- Rougelsum: 38.6317
- Gen Len: 16.5685
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 460 | 1.8087 | 40.9414 | 18.2439 | 34.4046 | 38.0469 | 16.4645 |
| 1.9998 | 2.0 | 921 | 1.7943 | 41.09 | 18.2457 | 34.4794 | 38.098 | 16.5538 |
| 1.9621 | 3.0 | 1381 | 1.7809 | 41.6111 | 18.5089 | 34.9893 | 38.6344 | 16.5795 |
| 1.9445 | 4.0 | 1842 | 1.7731 | 41.7145 | 18.7104 | 35.1886 | 38.7006 | 16.6198 |
| 1.9227 | 5.0 | 2302 | 1.7702 | 41.5079 | 18.5223 | 34.9946 | 38.4816 | 16.5575 |
| 1.9142 | 5.99 | 2760 | 1.7687 | 41.7031 | 18.7783 | 35.1492 | 38.6317 | 16.5685 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0