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: 0.2901
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: 290.3438
- Rouge1: 0.2901
- Rouge2: 0.0
- Rougel: 0.294
- Rougelsum: 0.2889
- Gen Len: 2.0
- Test Rougel: 0.294
- Df Rougel: 0.2241
- Unlearn Overall Rougel: 0.5350
- Unlearn Time: 1103.6610
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: 1e-05
- train_batch_size: 8
- 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 | Overall Rougel | Unlearn Overall Rougel | Time |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 110 | 2.4633 | 19.9456 | 10.1732 | 18.2153 | 18.7859 | 7.7370 | 0.4185 | 0.4185 | -1 |
| No log | 2.0 | 220 | 165.9415 | 0.3318 | 0.0 | 0.2978 | 0.3277 | 2.0052 | 0.5184 | 0.5184 | -1 |
| No log | 3.0 | 330 | 290.3438 | 0.2901 | 0.0 | 0.2241 | 0.2889 | 2.0 | 0.5350 | 0.5350 | -1 |
| No log | 4.0 | 440 | 343.0455 | 0.2678 | 0.0 | 0.2125 | 0.2684 | 2.0 | 0.5295 | 0.5295 | -1 |
| No log | 5.0 | 550 | 352.4384 | 0.2678 | 0.0 | 0.2125 | 0.2684 | 2.0 | 0.5295 | 0.5295 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2