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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: 48.3063
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# samsum_42
This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5068
- Rouge1: 48.3063
- Rouge2: 23.9806
- Rougel: 39.8938
- Rougelsum: 44.5518
- Gen Len: 28.0
- Test Rougel: 39.8938
- Df Rougel: 41.3412
- Unlearn Overall Rougel: -0.2237
- Unlearn Time: 833.6055
## 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: 4
- 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 | 10 | 1.4950 | 48.9548 | 24.2526 | 42.6093 | 45.0242 | 24.9156 | -0.5616 | -0.5616 | -1 |
| No log | 2.0 | 20 | 1.4983 | 48.7024 | 24.2549 | 42.095 | 44.9152 | 25.5648 | -0.3513 | -0.3513 | -1 |
| No log | 3.0 | 30 | 1.5019 | 48.4999 | 24.1774 | 41.8905 | 44.8249 | 26.4401 | -0.2970 | -0.2970 | -1 |
| No log | 4.0 | 40 | 1.5055 | 48.3742 | 24.0652 | 41.6664 | 44.6241 | 27.6932 | -0.3179 | -0.3179 | -1 |
| No log | 5.0 | 50 | 1.5068 | 48.3063 | 23.9806 | 41.3412 | 44.5518 | 28.0 | -0.2237 | -0.2237 | -1 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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