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# ted_talks_summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0524
- Rouge1: 0.2688
- Rouge2: 0.0754
- Rougel: 0.1731
- Rougelsum: 0.1733
- Gen Len: 128.0

## 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: 5e-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
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.4159        | 1.0   | 249  | 3.1353          | 0.2603 | 0.0652 | 0.1631 | 0.1634    | 128.0   |
| 3.2981        | 2.0   | 498  | 3.0669          | 0.2673 | 0.0715 | 0.1696 | 0.1698    | 128.0   |
| 3.237         | 3.0   | 747  | 3.0524          | 0.2688 | 0.0754 | 0.1731 | 0.1733    | 128.0   |


### 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"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "ted_talks_summarization", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us