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# my_awesome_arxiv_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the scientific_papers dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5995
- Rouge1: 0.1783
- Rouge2: 0.0671
- Rougel: 0.1433
- Rougelsum: 0.1433
- Gen Len: 19.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8985        | 1.0   | 1269 | 2.6663          | 0.1735 | 0.0651 | 0.1393 | 0.1393    | 19.0    |
| 2.7954        | 2.0   | 2538 | 2.6231          | 0.1759 | 0.0675 | 0.1417 | 0.1417    | 19.0    |
| 2.7799        | 3.0   | 3807 | 2.6054          | 0.1779 | 0.0674 | 0.1434 | 0.1435    | 19.0    |
| 2.7715        | 4.0   | 5076 | 2.5995          | 0.1783 | 0.0671 | 0.1433 | 0.1433    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["scientific_papers"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_arxiv_model", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "scientific_papers", "type": "scientific_papers", "config": "arxiv", "split": "test", "args": "arxiv"}, "metrics": [{"type": "rouge", "value": 0.1783, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:scientific_papers base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us