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# notification-hub

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5633
- Rougel: 38.3354
- Rouge1: 44.3420

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougel  | Rouge1  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.6364        | 1.0   | 2482 | 1.5543          | 37.6025 | 43.5207 |
| 1.4764        | 2.0   | 4964 | 1.5466          | 38.2764 | 44.0569 |
| 1.3991        | 3.0   | 7446 | 1.5556          | 38.2109 | 43.9420 |
| 1.3365        | 4.0   | 9928 | 1.5633          | 38.3354 | 44.3420 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "notification-hub", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "validation", "args": "samsum"}, "metrics": [{"type": "rouge", "value": 44.34200782349507, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation summarization generated_from_trainer dataset:samsum base_model:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us