metadata
license: apache-2.0
base_model: google/t5-v1_1-base
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: 39.6521
samsum_42
This model is a fine-tuned version of google/t5-v1_1-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8469
- Rouge1: 39.6521
- Rouge2: 20.5195
- Rougel: 35.2303
- Rougelsum: 36.9399
- Gen Len: 11.4548
- Test Rougel: 35.2303
- Df Rougel: 35.8104
- Unlearn Overall Rougel: 0.2099
- Unlearn Time: 502.7173
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: 32
- eval_batch_size: 8
- 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 | 37 | 1.5319 | 46.4888 | 23.3914 | 40.8182 | 43.0601 | 17.5134 | -0.1262 | -0.1262 | -1 |
| No log | 2.0 | 74 | 1.8469 | 39.6521 | 20.5195 | 35.8104 | 36.9399 | 11.4548 | 0.2099 | 0.2099 | -1 |
| No log | 3.0 | 111 | 2.4451 | 36.3205 | 17.8091 | 33.5109 | 33.8967 | 10.2910 | 0.0407 | 0.0407 | -1 |
| No log | 4.0 | 148 | 3.2318 | 32.629 | 15.2243 | 31.5303 | 30.7888 | 9.5440 | -0.3471 | -0.3471 | -1 |
| No log | 5.0 | 185 | 3.7401 | 31.519 | 14.3311 | 30.2925 | 29.8397 | 9.3056 | -0.1495 | -0.1495 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2