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# flan-t5-ellis

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6154

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0806        | 1.71  | 500   | 0.8885          |
| 0.873         | 3.42  | 1000  | 0.7565          |
| 0.7779        | 5.13  | 1500  | 0.7053          |
| 0.715         | 6.84  | 2000  | 0.6829          |
| 0.6894        | 8.55  | 2500  | 0.6622          |
| 0.6082        | 10.26 | 3000  | 0.6480          |
| 0.617         | 11.97 | 3500  | 0.6295          |
| 0.5978        | 13.68 | 4000  | 0.6263          |
| 0.578         | 15.39 | 4500  | 0.6212          |
| 0.547         | 17.1  | 5000  | 0.6143          |
| 0.5129        | 18.81 | 5500  | 0.6144          |
| 0.5104        | 20.52 | 6000  | 0.6137          |
| 0.5161        | 22.23 | 6500  | 0.6060          |
| 0.5078        | 23.94 | 7000  | 0.6042          |
| 0.4674        | 25.65 | 7500  | 0.6071          |
| 0.4747        | 27.36 | 8000  | 0.6065          |
| 0.467         | 29.07 | 8500  | 0.6060          |
| 0.4423        | 30.78 | 9000  | 0.6094          |
| 0.4357        | 32.49 | 9500  | 0.6106          |
| 0.4074        | 34.2  | 10000 | 0.6073          |
| 0.4414        | 35.91 | 10500 | 0.6064          |
| 0.4063        | 37.61 | 11000 | 0.6093          |
| 0.3983        | 39.32 | 11500 | 0.6142          |
| 0.3991        | 41.03 | 12000 | 0.6122          |
| 0.4128        | 42.74 | 12500 | 0.6141          |
| 0.4069        | 44.45 | 13000 | 0.6138          |
| 0.3992        | 46.16 | 13500 | 0.6151          |
| 0.3748        | 47.87 | 14000 | 0.6141          |
| 0.3907        | 49.58 | 14500 | 0.6154          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-ellis", "results": []}]}
transformers safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us