---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: ingredient_prune
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ingredient_prune

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: 0.2436

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 39.4526       | 0.18  | 10   | 30.3809         |
| 27.667        | 0.36  | 20   | 22.8572         |
| 21.9725       | 0.55  | 30   | 17.0515         |
| 16.8644       | 0.73  | 40   | 10.5651         |
| 11.1674       | 0.91  | 50   | 5.0759          |
| 6.118         | 1.09  | 60   | 4.6133          |
| 4.9081        | 1.27  | 70   | 4.3195          |
| 4.4828        | 1.45  | 80   | 4.0760          |
| 4.2396        | 1.64  | 90   | 3.7275          |
| 3.9506        | 1.82  | 100  | 3.2074          |
| 3.6429        | 2.0   | 110  | 2.3281          |
| 3.2367        | 2.18  | 120  | 1.9763          |
| 2.9215        | 2.36  | 130  | 1.6481          |
| 2.6303        | 2.55  | 140  | 1.1401          |
| 2.3688        | 2.73  | 150  | 0.9394          |
| 2.1479        | 2.91  | 160  | 0.7354          |
| 1.9545        | 3.09  | 170  | 0.5833          |
| 1.7575        | 3.27  | 180  | 0.4979          |
| 1.6226        | 3.45  | 190  | 0.4317          |
| 1.5458        | 3.64  | 200  | 0.3730          |
| 1.3763        | 3.82  | 210  | 0.3325          |
| 1.2912        | 4.0   | 220  | 0.3094          |
| 1.2131        | 4.18  | 230  | 0.2873          |
| 1.1808        | 4.36  | 240  | 0.2664          |
| 1.1173        | 4.55  | 250  | 0.2535          |
| 1.1101        | 4.73  | 260  | 0.2467          |
| 1.058         | 4.91  | 270  | 0.2436          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2