metadata
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: samsum_42
results:
- task:
name: Summarization
type: summarization
dataset:
name: samsum
type: samsum
metrics:
- name: Rouge1
type: rouge
value: 50.8056
samsum_42
This model is a fine-tuned version of google/t5-v1_1-large on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4591
- Rouge1: 50.8056
- Rouge2: 27.2825
- Rougel: 42.3835
- Rougelsum: 47.2015
- Gen Len: 26.3814
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 921 | 1.7107 | 49.4859 | 25.6708 | 40.6695 | 45.4657 | 29.0733 |
| 3.053 | 2.0 | 1842 | 1.4591 | 50.8056 | 27.2825 | 42.3835 | 47.2015 | 26.3814 |
| 1.8078 | 3.0 | 2763 | 1.4260 | 47.4424 | 24.5737 | 38.5731 | 43.77 | 24.5098 |
| 1.6115 | 4.0 | 3684 | 1.4194 | 47.6099 | 24.4291 | 38.6691 | 43.651 | 24.7213 |
| 1.5189 | 5.0 | 4605 | 1.4182 | 47.9053 | 25.0788 | 39.0674 | 43.9306 | 25.1626 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2