---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# samsum_42

This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/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