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: 0.2678
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: 380.7704
- Rouge1: 0.2678
- Rouge2: 0.0
- Rougel: 0.2715
- Rougelsum: 0.2684
- Gen Len: 2.0
- Test Rougel: 0.2715
- Df Rougel: 0.259
- Unlearn Overall Rougel: 0.5062
- Unlearn Time: 1071.4580
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 | 147 | 91.4111 | 2.279 | 0.0328 | 2.5438 | 2.2783 | 2.7565 | 0.3691 | 0.3691 | -1 |
| No log | 2.0 | 294 | 313.6870 | 0.2756 | 0.0 | 0.3062 | 0.275 | 2.0 | 0.4863 | 0.4863 | -1 |
| No log | 3.0 | 441 | 380.7704 | 0.2678 | 0.0 | 0.259 | 0.2684 | 2.0 | 0.5062 | 0.5062 | -1 |
| No log | 4.0 | 588 | 414.6086 | 0.2184 | 0.0 | 0.2359 | 0.2196 | 2.0 | 0.4932 | 0.4932 | -1 |
| No log | 5.0 | 735 | 422.9209 | 0.2184 | 0.0 | 0.2359 | 0.2196 | 2.0 | 0.4932 | 0.4932 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2