metadata
license: apache-2.0
base_model: google/t5-v1_1-small
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: 38.9743
samsum_42
This model is a fine-tuned version of google/t5-v1_1-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.1130
- Rouge1: 38.9743
- Rouge2: 17.0483
- Rougel: 32.8088
- Rougelsum: 36.1047
- Gen Len: 20.1785
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 | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 461 | 14.9658 | 2.3319 | 30.3301 | 13.4627 | 26.1544 | 28.1275 |
| No log | 2.0 | 922 | 17.4230 | 2.1737 | 35.9382 | 15.9281 | 30.5125 | 33.3475 |
| 3.9209 | 3.0 | 1383 | 19.5892 | 2.1288 | 37.9339 | 16.6056 | 31.9002 | 35.0597 |
| 3.9209 | 4.0 | 1844 | 20.1381 | 2.1201 | 38.625 | 16.8095 | 32.5753 | 35.825 |
| 2.9358 | 5.0 | 2305 | 20.1785 | 2.1130 | 38.9743 | 17.0483 | 32.8088 | 36.1047 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2