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# priteshkeleven/FoodSeg103-mit-b0-fine-tuned

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.2570
- Validation Loss: 3.3599
- Validation Mean Iou: 0.0098
- Validation Mean Accuracy: 0.0237
- Validation Overall Accuracy: 0.3989
- Validation Accuracy Background: 0.8398
- Validation Accuracy Candy: nan
- Validation Accuracy Egg tart: nan
- Validation Accuracy French fries: 0.0
- Validation Accuracy Chocolate: nan
- Validation Accuracy Biscuit: 0.0
- Validation Accuracy Popcorn: 0.0
- Validation Accuracy Pudding: nan
- Validation Accuracy Ice cream: 0.0686
- Validation Accuracy Cheese butter: 0.0
- Validation Accuracy Cake: 0.0059
- Validation Accuracy Wine: nan
- Validation Accuracy Milkshake: 0.0
- Validation Accuracy Coffee: 0.0
- Validation Accuracy Juice: nan
- Validation Accuracy Milk: 0.0
- Validation Accuracy Tea: nan
- Validation Accuracy Almond: 0.0
- Validation Accuracy Red beans: 0.0
- Validation Accuracy Cashew: nan
- Validation Accuracy Dried cranberries: 0.0
- Validation Accuracy Soy: 0.0
- Validation Accuracy Walnut: nan
- Validation Accuracy Peanut: nan
- Validation Accuracy Egg: 0.0
- Validation Accuracy Apple: 0.0
- Validation Accuracy Date: nan
- Validation Accuracy Apricot: nan
- Validation Accuracy Avocado: nan
- Validation Accuracy Banana: 0.0
- Validation Accuracy Strawberry: 0.0
- Validation Accuracy Cherry: 0.0
- Validation Accuracy Blueberry: 0.0
- Validation Accuracy Raspberry: 0.0
- Validation Accuracy Mango: 0.0
- Validation Accuracy Olives: 0.0
- Validation Accuracy Peach: nan
- Validation Accuracy Lemon: 0.0
- Validation Accuracy Pear: nan
- Validation Accuracy Fig: nan
- Validation Accuracy Pineapple: nan
- Validation Accuracy Grape: 0.0
- Validation Accuracy Kiwi: 0.0
- Validation Accuracy Melon: nan
- Validation Accuracy Orange: 0.0
- Validation Accuracy Watermelon: nan
- Validation Accuracy Steak: 0.0417
- Validation Accuracy Pork: 0.0360
- Validation Accuracy Chicken duck: 0.0688
- Validation Accuracy Sausage: 0.0
- Validation Accuracy Fried meat: 0.0
- Validation Accuracy Lamb: nan
- Validation Accuracy Sauce: 0.0034
- Validation Accuracy Crab: 0.0
- Validation Accuracy Fish: 0.0
- Validation Accuracy Shellfish: nan
- Validation Accuracy Shrimp: 0.0027
- Validation Accuracy Soup: nan
- Validation Accuracy Bread: 0.3125
- Validation Accuracy Corn: nan
- Validation Accuracy Hamburg: nan
- Validation Accuracy Pizza: nan
- Validation Accuracy Hanamaki baozi: nan
- Validation Accuracy Wonton dumplings: nan
- Validation Accuracy Pasta: 0.0
- Validation Accuracy Noodles: 0.0020
- Validation Accuracy Rice: 0.0
- Validation Accuracy Pie: 0.0111
- Validation Accuracy Tofu: nan
- Validation Accuracy Eggplant: nan
- Validation Accuracy Potato: 0.0176
- Validation Accuracy Garlic: 0.0
- Validation Accuracy Cauliflower: 0.0
- Validation Accuracy Tomato: 0.0033
- Validation Accuracy Kelp: nan
- Validation Accuracy Seaweed: 0.0
- Validation Accuracy Spring onion: 0.0
- Validation Accuracy Rape: nan
- Validation Accuracy Ginger: nan
- Validation Accuracy Okra: nan
- Validation Accuracy Lettuce: 0.0
- Validation Accuracy Pumpkin: nan
- Validation Accuracy Cucumber: 0.0
- Validation Accuracy White radish: nan
- Validation Accuracy Carrot: 0.0060
- Validation Accuracy Asparagus: 0.0
- Validation Accuracy Bamboo shoots: nan
- Validation Accuracy Broccoli: 0.0014
- Validation Accuracy Celery stick: 0.0
- Validation Accuracy Cilantro mint: 0.0
- Validation Accuracy Snow peas: nan
- Validation Accuracy Cabbage: nan
- Validation Accuracy Bean sprouts: nan
- Validation Accuracy Onion: 0.0010
- Validation Accuracy Pepper: 0.0
- Validation Accuracy Green beans: 0.0
- Validation Accuracy French beans: 0.0005
- Validation Accuracy King oyster mushroom: nan
- Validation Accuracy Shiitake: 0.0
- Validation Accuracy Enoki mushroom: nan
- Validation Accuracy Oyster mushroom: nan
- Validation Accuracy White button mushroom: nan
- Validation Accuracy Salad: nan
- Validation Accuracy Other ingredients: 0.0
- Validation Iou Background: 0.5433
- Validation Iou Candy: nan
- Validation Iou Egg tart: 0.0
- Validation Iou French fries: 0.0
- Validation Iou Chocolate: 0.0
- Validation Iou Biscuit: 0.0
- Validation Iou Popcorn: 0.0
- Validation Iou Pudding: nan
- Validation Iou Ice cream: 0.0217
- Validation Iou Cheese butter: 0.0
- Validation Iou Cake: 0.0043
- Validation Iou Wine: nan
- Validation Iou Milkshake: 0.0
- Validation Iou Coffee: 0.0
- Validation Iou Juice: nan
- Validation Iou Milk: 0.0
- Validation Iou Tea: nan
- Validation Iou Almond: 0.0
- Validation Iou Red beans: 0.0
- Validation Iou Cashew: 0.0
- Validation Iou Dried cranberries: 0.0
- Validation Iou Soy: 0.0
- Validation Iou Walnut: nan
- Validation Iou Peanut: nan
- Validation Iou Egg: 0.0
- Validation Iou Apple: 0.0
- Validation Iou Date: nan
- Validation Iou Apricot: nan
- Validation Iou Avocado: nan
- Validation Iou Banana: 0.0
- Validation Iou Strawberry: 0.0
- Validation Iou Cherry: 0.0
- Validation Iou Blueberry: 0.0
- Validation Iou Raspberry: 0.0
- Validation Iou Mango: 0.0
- Validation Iou Olives: 0.0
- Validation Iou Peach: nan
- Validation Iou Lemon: 0.0
- Validation Iou Pear: nan
- Validation Iou Fig: 0.0
- Validation Iou Pineapple: 0.0
- Validation Iou Grape: 0.0
- Validation Iou Kiwi: 0.0
- Validation Iou Melon: nan
- Validation Iou Orange: 0.0
- Validation Iou Watermelon: 0.0
- Validation Iou Steak: 0.0127
- Validation Iou Pork: 0.0233
- Validation Iou Chicken duck: 0.0287
- Validation Iou Sausage: 0.0
- Validation Iou Fried meat: 0.0
- Validation Iou Lamb: nan
- Validation Iou Sauce: 0.0032
- Validation Iou Crab: 0.0
- Validation Iou Fish: 0.0
- Validation Iou Shellfish: 0.0
- Validation Iou Shrimp: 0.0026
- Validation Iou Soup: nan
- Validation Iou Bread: 0.0855
- Validation Iou Corn: 0.0
- Validation Iou Hamburg: nan
- Validation Iou Pizza: 0.0
- Validation Iou Hanamaki baozi: nan
- Validation Iou Wonton dumplings: 0.0
- Validation Iou Pasta: 0.0
- Validation Iou Noodles: 0.0019
- Validation Iou Rice: 0.0
- Validation Iou Pie: 0.0079
- Validation Iou Tofu: 0.0
- Validation Iou Eggplant: nan
- Validation Iou Potato: 0.0065
- Validation Iou Garlic: 0.0
- Validation Iou Cauliflower: 0.0
- Validation Iou Tomato: 0.0025
- Validation Iou Kelp: nan
- Validation Iou Seaweed: 0.0
- Validation Iou Spring onion: 0.0
- Validation Iou Rape: nan
- Validation Iou Ginger: nan
- Validation Iou Okra: nan
- Validation Iou Lettuce: 0.0
- Validation Iou Pumpkin: 0.0
- Validation Iou Cucumber: 0.0
- Validation Iou White radish: 0.0
- Validation Iou Carrot: 0.0049
- Validation Iou Asparagus: 0.0
- Validation Iou Bamboo shoots: nan
- Validation Iou Broccoli: 0.0012
- Validation Iou Celery stick: 0.0
- Validation Iou Cilantro mint: 0.0
- Validation Iou Snow peas: 0.0
- Validation Iou Cabbage: 0.0
- Validation Iou Bean sprouts: nan
- Validation Iou Onion: 0.0010
- Validation Iou Pepper: 0.0
- Validation Iou Green beans: 0.0
- Validation Iou French beans: 0.0005
- Validation Iou King oyster mushroom: nan
- Validation Iou Shiitake: 0.0
- Validation Iou Enoki mushroom: nan
- Validation Iou Oyster mushroom: 0.0
- Validation Iou White button mushroom: 0.0
- Validation Iou Salad: nan
- Validation Iou Other ingredients: 0.0
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 750, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Background | Validation Accuracy Candy | Validation Accuracy Egg tart | Validation Accuracy French fries | Validation Accuracy Chocolate | Validation Accuracy Biscuit | Validation Accuracy Popcorn | Validation Accuracy Pudding | Validation Accuracy Ice cream | Validation Accuracy Cheese butter | Validation Accuracy Cake | Validation Accuracy Wine | Validation Accuracy Milkshake | Validation Accuracy Coffee | Validation Accuracy Juice | Validation Accuracy Milk | Validation Accuracy Tea | Validation Accuracy Almond | Validation Accuracy Red beans | Validation Accuracy Cashew | Validation Accuracy Dried cranberries | Validation Accuracy Soy | Validation Accuracy Walnut | Validation Accuracy Peanut | Validation Accuracy Egg | Validation Accuracy Apple | Validation Accuracy Date | Validation Accuracy Apricot | Validation Accuracy Avocado | Validation Accuracy Banana | Validation Accuracy Strawberry | Validation Accuracy Cherry | Validation Accuracy Blueberry | Validation Accuracy Raspberry | Validation Accuracy Mango | Validation Accuracy Olives | Validation Accuracy Peach | Validation Accuracy Lemon | Validation Accuracy Pear | Validation Accuracy Fig | Validation Accuracy Pineapple | Validation Accuracy Grape | Validation Accuracy Kiwi | Validation Accuracy Melon | Validation Accuracy Orange | Validation Accuracy Watermelon | Validation Accuracy Steak | Validation Accuracy Pork | Validation Accuracy Chicken duck | Validation Accuracy Sausage | Validation Accuracy Fried meat | Validation Accuracy Lamb | Validation Accuracy Sauce | Validation Accuracy Crab | Validation Accuracy Fish | Validation Accuracy Shellfish | Validation Accuracy Shrimp | Validation Accuracy Soup | Validation Accuracy Bread | Validation Accuracy Corn | Validation Accuracy Hamburg | Validation Accuracy Pizza | Validation Accuracy Hanamaki baozi | Validation Accuracy Wonton dumplings | Validation Accuracy Pasta | Validation Accuracy Noodles | Validation Accuracy Rice | Validation Accuracy Pie | Validation Accuracy Tofu | Validation Accuracy Eggplant | Validation Accuracy Potato | Validation Accuracy Garlic | Validation Accuracy Cauliflower | Validation Accuracy Tomato | Validation Accuracy Kelp | Validation Accuracy Seaweed | Validation Accuracy Spring onion | Validation Accuracy Rape | Validation Accuracy Ginger | Validation Accuracy Okra | Validation Accuracy Lettuce | Validation Accuracy Pumpkin | Validation Accuracy Cucumber | Validation Accuracy White radish | Validation Accuracy Carrot | Validation Accuracy Asparagus | Validation Accuracy Bamboo shoots | Validation Accuracy Broccoli | Validation Accuracy Celery stick | Validation Accuracy Cilantro mint | Validation Accuracy Snow peas | Validation Accuracy Cabbage | Validation Accuracy Bean sprouts | Validation Accuracy Onion | Validation Accuracy Pepper | Validation Accuracy Green beans | Validation Accuracy French beans | Validation Accuracy King oyster mushroom | Validation Accuracy Shiitake | Validation Accuracy Enoki mushroom | Validation Accuracy Oyster mushroom | Validation Accuracy White button mushroom | Validation Accuracy Salad | Validation Accuracy Other ingredients | Validation Iou Background | Validation Iou Candy | Validation Iou Egg tart | Validation Iou French fries | Validation Iou Chocolate | Validation Iou Biscuit | Validation Iou Popcorn | Validation Iou Pudding | Validation Iou Ice cream | Validation Iou Cheese butter | Validation Iou Cake | Validation Iou Wine | Validation Iou Milkshake | Validation Iou Coffee | Validation Iou Juice | Validation Iou Milk | Validation Iou Tea | Validation Iou Almond | Validation Iou Red beans | Validation Iou Cashew | Validation Iou Dried cranberries | Validation Iou Soy | Validation Iou Walnut | Validation Iou Peanut | Validation Iou Egg | Validation Iou Apple | Validation Iou Date | Validation Iou Apricot | Validation Iou Avocado | Validation Iou Banana | Validation Iou Strawberry | Validation Iou Cherry | Validation Iou Blueberry | Validation Iou Raspberry | Validation Iou Mango | Validation Iou Olives | Validation Iou Peach | Validation Iou Lemon | Validation Iou Pear | Validation Iou Fig | Validation Iou Pineapple | Validation Iou Grape | Validation Iou Kiwi | Validation Iou Melon | Validation Iou Orange | Validation Iou Watermelon | Validation Iou Steak | Validation Iou Pork | Validation Iou Chicken duck | Validation Iou Sausage | Validation Iou Fried meat | Validation Iou Lamb | Validation Iou Sauce | Validation Iou Crab | Validation Iou Fish | Validation Iou Shellfish | Validation Iou Shrimp | Validation Iou Soup | Validation Iou Bread | Validation Iou Corn | Validation Iou Hamburg | Validation Iou Pizza | Validation Iou Hanamaki baozi | Validation Iou Wonton dumplings | Validation Iou Pasta | Validation Iou Noodles | Validation Iou Rice | Validation Iou Pie | Validation Iou Tofu | Validation Iou Eggplant | Validation Iou Potato | Validation Iou Garlic | Validation Iou Cauliflower | Validation Iou Tomato | Validation Iou Kelp | Validation Iou Seaweed | Validation Iou Spring onion | Validation Iou Rape | Validation Iou Ginger | Validation Iou Okra | Validation Iou Lettuce | Validation Iou Pumpkin | Validation Iou Cucumber | Validation Iou White radish | Validation Iou Carrot | Validation Iou Asparagus | Validation Iou Bamboo shoots | Validation Iou Broccoli | Validation Iou Celery stick | Validation Iou Cilantro mint | Validation Iou Snow peas | Validation Iou Cabbage | Validation Iou Bean sprouts | Validation Iou Onion | Validation Iou Pepper | Validation Iou Green beans | Validation Iou French beans | Validation Iou King oyster mushroom | Validation Iou Shiitake | Validation Iou Enoki mushroom | Validation Iou Oyster mushroom | Validation Iou White button mushroom | Validation Iou Salad | Validation Iou Other ingredients | Epoch |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------------:|:-------------------------:|:----------------------------:|:--------------------------------:|:-----------------------------:|:---------------------------:|:---------------------------:|:---------------------------:|:-----------------------------:|:---------------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:--------------------------:|:-------------------------:|:------------------------:|:-----------------------:|:--------------------------:|:-----------------------------:|:--------------------------:|:-------------------------------------:|:-----------------------:|:--------------------------:|:--------------------------:|:-----------------------:|:-------------------------:|:------------------------:|:---------------------------:|:---------------------------:|:--------------------------:|:------------------------------:|:--------------------------:|:-----------------------------:|:-----------------------------:|:-------------------------:|:--------------------------:|:-------------------------:|:-------------------------:|:------------------------:|:-----------------------:|:-----------------------------:|:-------------------------:|:------------------------:|:-------------------------:|:--------------------------:|:------------------------------:|:-------------------------:|:------------------------:|:--------------------------------:|:---------------------------:|:------------------------------:|:------------------------:|:-------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:--------------------------:|:------------------------:|:-------------------------:|:------------------------:|:---------------------------:|:-------------------------:|:----------------------------------:|:------------------------------------:|:-------------------------:|:---------------------------:|:------------------------:|:-----------------------:|:------------------------:|:----------------------------:|:--------------------------:|:--------------------------:|:-------------------------------:|:--------------------------:|:------------------------:|:---------------------------:|:--------------------------------:|:------------------------:|:--------------------------:|:------------------------:|:---------------------------:|:---------------------------:|:----------------------------:|:--------------------------------:|:--------------------------:|:-----------------------------:|:---------------------------------:|:----------------------------:|:--------------------------------:|:---------------------------------:|:-----------------------------:|:---------------------------:|:--------------------------------:|:-------------------------:|:--------------------------:|:-------------------------------:|:--------------------------------:|:----------------------------------------:|:----------------------------:|:----------------------------------:|:-----------------------------------:|:-----------------------------------------:|:-------------------------:|:-------------------------------------:|:-------------------------:|:--------------------:|:-----------------------:|:---------------------------:|:------------------------:|:----------------------:|:----------------------:|:----------------------:|:------------------------:|:----------------------------:|:-------------------:|:-------------------:|:------------------------:|:---------------------:|:--------------------:|:-------------------:|:------------------:|:---------------------:|:------------------------:|:---------------------:|:--------------------------------:|:------------------:|:---------------------:|:---------------------:|:------------------:|:--------------------:|:-------------------:|:----------------------:|:----------------------:|:---------------------:|:-------------------------:|:---------------------:|:------------------------:|:------------------------:|:--------------------:|:---------------------:|:--------------------:|:--------------------:|:-------------------:|:------------------:|:------------------------:|:--------------------:|:-------------------:|:--------------------:|:---------------------:|:-------------------------:|:--------------------:|:-------------------:|:---------------------------:|:----------------------:|:-------------------------:|:-------------------:|:--------------------:|:-------------------:|:-------------------:|:------------------------:|:---------------------:|:-------------------:|:--------------------:|:-------------------:|:----------------------:|:--------------------:|:-----------------------------:|:-------------------------------:|:--------------------:|:----------------------:|:-------------------:|:------------------:|:-------------------:|:-----------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| 3.9875     | 3.5443          | 0.0082              | 0.0228                   | 0.3700                      | 0.7752                         | nan                       | nan                          | 0.0                              | nan                           | 0.0                         | 0.0                         | nan                         | 0.0070                        | 0.0                               | 0.0015                   | nan                      | 0.0                           | 0.0                        | nan                       | 0.0                      | nan                     | 0.0                        | 0.0                           | nan                        | 0.0                                   | 0.0                     | nan                        | nan                        | 0.0160                  | 0.0                       | nan                      | nan                         | nan                         | 0.0                        | 0.0000                         | 0.0643                     | 0.0                           | 0.0                           | 0.0                       | 0.0                        | nan                       | 0.0                       | nan                      | nan                     | nan                           | 0.0                       | 0.0                      | nan                       | 0.0                        | nan                            | 0.0712                    | 0.0103                   | 0.0226                           | 0.0                         | 0.0                            | nan                      | 0.0094                    | 0.0                      | 0.0                      | nan                           | 0.0060                     | nan                      | 0.3435                    | nan                      | nan                         | nan                       | nan                                | nan                                  | 0.0                       | 0.0002                      | 0.0                      | 0.0                     | nan                      | nan                          | 0.0037                     | 0.0                        | 0.0                             | 0.0154                     | nan                      | 0.0                         | 0.0                              | nan                      | nan                        | nan                      | 0.0                         | nan                         | 0.0                          | nan                              | 0.0001                     | 0.0                           | nan                               | 0.0                          | 0.0                              | 0.0                               | nan                           | nan                         | nan                              | 0.0004                    | 0.0197                     | 0.0                             | 0.0001                           | nan                                      | 0.0                          | nan                                | nan                                 | nan                                       | nan                       | 0.0                                   | 0.5404                    | nan                  | 0.0                     | 0.0                         | 0.0                      | 0.0                    | 0.0                    | nan                    | 0.0059                   | 0.0                          | 0.0014              | 0.0                 | 0.0                      | 0.0                   | 0.0                  | 0.0                 | nan                | 0.0                   | 0.0                      | nan                   | 0.0                              | 0.0                | nan                   | nan                   | 0.0046             | 0.0                  | 0.0                 | nan                    | 0.0                    | 0.0                   | 0.0000                    | 0.0032                | 0.0                      | 0.0                      | 0.0                  | 0.0                   | nan                  | 0.0                  | 0.0                 | 0.0                | 0.0                      | 0.0                  | 0.0                 | 0.0                  | 0.0                   | nan                       | 0.0256               | 0.0088              | 0.0143                      | 0.0                    | 0.0                       | nan                 | 0.0076               | 0.0                 | 0.0                 | 0.0                      | 0.0052                | nan                 | 0.0683               | 0.0                 | 0.0                    | 0.0                  | nan                           | 0.0                             | 0.0                  | 0.0002                 | 0.0                 | 0.0                | 0.0                 | 0.0                     | 0.0024                | 0.0                   | 0.0                        | 0.0119                | 0.0                 | 0.0                    | 0.0                         | 0.0                 | nan                   | nan                 | 0.0                    | 0.0                    | 0.0                     | 0.0                         | 0.0001                | 0.0                      | nan                          | 0.0                     | 0.0                         | 0.0                          | 0.0                      | 0.0                    | 0.0                         | 0.0003               | 0.0076                | 0.0                        | 0.0001                      | nan                                 | 0.0                     | nan                           | 0.0                            | 0.0                                  | nan                  | 0.0                              | 0     |
| 3.3980     | 3.3903          | 0.0098              | 0.0238                   | 0.3997                      | 0.8457                         | nan                       | nan                          | 0.0                              | nan                           | 0.0                         | 0.0                         | nan                         | 0.0754                        | 0.0                               | 0.0046                   | nan                      | 0.0                           | 0.0                        | nan                       | 0.0                      | nan                     | 0.0                        | 0.0                           | nan                        | 0.0                                   | 0.0                     | nan                        | nan                        | 0.0001                  | 0.0                       | nan                      | nan                         | nan                         | 0.0                        | 0.0                            | 0.0                        | 0.0                           | 0.0                           | 0.0                       | 0.0                        | nan                       | 0.0                       | nan                      | nan                     | nan                           | 0.0                       | 0.0                      | nan                       | 0.0                        | nan                            | 0.0453                    | 0.0206                   | 0.0701                           | 0.0                         | 0.0                            | nan                      | 0.0052                    | 0.0                      | 0.0                      | nan                           | 0.0109                     | nan                      | 0.2735                    | nan                      | nan                         | nan                       | nan                                | nan                                  | 0.0                       | 0.0020                      | 0.0001                   | 0.0245                  | nan                      | nan                          | 0.0247                     | 0.0                        | 0.0                             | 0.0131                     | nan                      | 0.0                         | 0.0                              | nan                      | nan                        | nan                      | 0.0006                      | nan                         | 0.0                          | nan                              | 0.0096                     | 0.0                           | nan                               | 0.0008                       | 0.0                              | 0.0                               | nan                           | nan                         | nan                              | 0.0020                    | 0.0                        | 0.0                             | 0.0005                           | nan                                      | 0.0                          | nan                                | nan                                 | nan                                       | nan                       | 0.0                                   | 0.5424                    | nan                  | nan                     | 0.0                         | 0.0                      | 0.0                    | 0.0                    | nan                    | 0.0257                   | 0.0                          | 0.0039              | nan                 | 0.0                      | 0.0                   | 0.0                  | 0.0                 | nan                | 0.0                   | 0.0                      | 0.0                   | 0.0                              | 0.0                | nan                   | nan                   | 0.0001             | 0.0                  | nan                 | nan                    | nan                    | 0.0                   | 0.0                       | 0.0                   | 0.0                      | 0.0                      | 0.0                  | 0.0                   | nan                  | 0.0                  | nan                 | 0.0                | 0.0                      | 0.0                  | 0.0                 | nan                  | 0.0                   | 0.0                       | 0.0144               | 0.0157              | 0.0288                      | 0.0                    | 0.0                       | nan                 | 0.0047               | 0.0                 | 0.0                 | 0.0                      | 0.0087                | nan                 | 0.0865               | 0.0                 | nan                    | 0.0                  | nan                           | 0.0                             | 0.0                  | 0.0018                 | 0.0001              | 0.0157             | 0.0                 | 0.0                     | 0.0057                | 0.0                   | 0.0                        | 0.0088                | nan                 | 0.0                    | 0.0                         | nan                 | nan                   | 0.0                 | 0.0006                 | 0.0                    | 0.0                     | 0.0                         | 0.0068                | 0.0                      | nan                          | 0.0007                  | 0.0                         | 0.0                          | 0.0                      | 0.0                    | 0.0                         | 0.0019               | 0.0                   | 0.0                        | 0.0005                      | nan                                 | 0.0                     | nan                           | nan                            | 0.0                                  | nan                  | 0.0                              | 1     |
| 3.2570     | 3.3599          | 0.0098              | 0.0237                   | 0.3989                      | 0.8398                         | nan                       | nan                          | 0.0                              | nan                           | 0.0                         | 0.0                         | nan                         | 0.0686                        | 0.0                               | 0.0059                   | nan                      | 0.0                           | 0.0                        | nan                       | 0.0                      | nan                     | 0.0                        | 0.0                           | nan                        | 0.0                                   | 0.0                     | nan                        | nan                        | 0.0                     | 0.0                       | nan                      | nan                         | nan                         | 0.0                        | 0.0                            | 0.0                        | 0.0                           | 0.0                           | 0.0                       | 0.0                        | nan                       | 0.0                       | nan                      | nan                     | nan                           | 0.0                       | 0.0                      | nan                       | 0.0                        | nan                            | 0.0417                    | 0.0360                   | 0.0688                           | 0.0                         | 0.0                            | nan                      | 0.0034                    | 0.0                      | 0.0                      | nan                           | 0.0027                     | nan                      | 0.3125                    | nan                      | nan                         | nan                       | nan                                | nan                                  | 0.0                       | 0.0020                      | 0.0                      | 0.0111                  | nan                      | nan                          | 0.0176                     | 0.0                        | 0.0                             | 0.0033                     | nan                      | 0.0                         | 0.0                              | nan                      | nan                        | nan                      | 0.0                         | nan                         | 0.0                          | nan                              | 0.0060                     | 0.0                           | nan                               | 0.0014                       | 0.0                              | 0.0                               | nan                           | nan                         | nan                              | 0.0010                    | 0.0                        | 0.0                             | 0.0005                           | nan                                      | 0.0                          | nan                                | nan                                 | nan                                       | nan                       | 0.0                                   | 0.5433                    | nan                  | 0.0                     | 0.0                         | 0.0                      | 0.0                    | 0.0                    | nan                    | 0.0217                   | 0.0                          | 0.0043              | nan                 | 0.0                      | 0.0                   | nan                  | 0.0                 | nan                | 0.0                   | 0.0                      | 0.0                   | 0.0                              | 0.0                | nan                   | nan                   | 0.0                | 0.0                  | nan                 | nan                    | nan                    | 0.0                   | 0.0                       | 0.0                   | 0.0                      | 0.0                      | 0.0                  | 0.0                   | nan                  | 0.0                  | nan                 | 0.0                | 0.0                      | 0.0                  | 0.0                 | nan                  | 0.0                   | 0.0                       | 0.0127               | 0.0233              | 0.0287                      | 0.0                    | 0.0                       | nan                 | 0.0032               | 0.0                 | 0.0                 | 0.0                      | 0.0026                | nan                 | 0.0855               | 0.0                 | nan                    | 0.0                  | nan                           | 0.0                             | 0.0                  | 0.0019                 | 0.0                 | 0.0079             | 0.0                 | nan                     | 0.0065                | 0.0                   | 0.0                        | 0.0025                | nan                 | 0.0                    | 0.0                         | nan                 | nan                   | nan                 | 0.0                    | 0.0                    | 0.0                     | 0.0                         | 0.0049                | 0.0                      | nan                          | 0.0012                  | 0.0                         | 0.0                          | 0.0                      | 0.0                    | nan                         | 0.0010               | 0.0                   | 0.0                        | 0.0005                      | nan                                 | 0.0                     | nan                           | 0.0                            | 0.0                                  | nan                  | 0.0                              | 2     |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.9.1
- Datasets 2.11.0
- Tokenizers 0.13.2

{"license": "other", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "priteshkeleven/FoodSeg103-mit-b0-fine-tuned", "results": []}]}
transformers tf segformer generated_from_keras_callback license:other endpoints_compatible region:us
TAGS
#transformers #tf #segformer #generated_from_keras_callback #license-other #endpoints_compatible #region-us 

priteshkeleven/FoodSeg103-mit-b0-fine-tuned
===========================================


This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 3.2570
* Validation Loss: 3.3599
* Validation Mean Iou: 0.0098
* Validation Mean Accuracy: 0.0237
* Validation Overall Accuracy: 0.3989
* Validation Accuracy Background: 0.8398
* Validation Accuracy Candy: nan
* Validation Accuracy Egg tart: nan
* Validation Accuracy French fries: 0.0
* Validation Accuracy Chocolate: nan
* Validation Accuracy Biscuit: 0.0
* Validation Accuracy Popcorn: 0.0
* Validation Accuracy Pudding: nan
* Validation Accuracy Ice cream: 0.0686
* Validation Accuracy Cheese butter: 0.0
* Validation Accuracy Cake: 0.0059
* Validation Accuracy Wine: nan
* Validation Accuracy Milkshake: 0.0
* Validation Accuracy Coffee: 0.0
* Validation Accuracy Juice: nan
* Validation Accuracy Milk: 0.0
* Validation Accuracy Tea: nan
* Validation Accuracy Almond: 0.0
* Validation Accuracy Red beans: 0.0
* Validation Accuracy Cashew: nan
* Validation Accuracy Dried cranberries: 0.0
* Validation Accuracy Soy: 0.0
* Validation Accuracy Walnut: nan
* Validation Accuracy Peanut: nan
* Validation Accuracy Egg: 0.0
* Validation Accuracy Apple: 0.0
* Validation Accuracy Date: nan
* Validation Accuracy Apricot: nan
* Validation Accuracy Avocado: nan
* Validation Accuracy Banana: 0.0
* Validation Accuracy Strawberry: 0.0
* Validation Accuracy Cherry: 0.0
* Validation Accuracy Blueberry: 0.0
* Validation Accuracy Raspberry: 0.0
* Validation Accuracy Mango: 0.0
* Validation Accuracy Olives: 0.0
* Validation Accuracy Peach: nan
* Validation Accuracy Lemon: 0.0
* Validation Accuracy Pear: nan
* Validation Accuracy Fig: nan
* Validation Accuracy Pineapple: nan
* Validation Accuracy Grape: 0.0
* Validation Accuracy Kiwi: 0.0
* Validation Accuracy Melon: nan
* Validation Accuracy Orange: 0.0
* Validation Accuracy Watermelon: nan
* Validation Accuracy Steak: 0.0417
* Validation Accuracy Pork: 0.0360
* Validation Accuracy Chicken duck: 0.0688
* Validation Accuracy Sausage: 0.0
* Validation Accuracy Fried meat: 0.0
* Validation Accuracy Lamb: nan
* Validation Accuracy Sauce: 0.0034
* Validation Accuracy Crab: 0.0
* Validation Accuracy Fish: 0.0
* Validation Accuracy Shellfish: nan
* Validation Accuracy Shrimp: 0.0027
* Validation Accuracy Soup: nan
* Validation Accuracy Bread: 0.3125
* Validation Accuracy Corn: nan
* Validation Accuracy Hamburg: nan
* Validation Accuracy Pizza: nan
* Validation Accuracy Hanamaki baozi: nan
* Validation Accuracy Wonton dumplings: nan
* Validation Accuracy Pasta: 0.0
* Validation Accuracy Noodles: 0.0020
* Validation Accuracy Rice: 0.0
* Validation Accuracy Pie: 0.0111
* Validation Accuracy Tofu: nan
* Validation Accuracy Eggplant: nan
* Validation Accuracy Potato: 0.0176
* Validation Accuracy Garlic: 0.0
* Validation Accuracy Cauliflower: 0.0
* Validation Accuracy Tomato: 0.0033
* Validation Accuracy Kelp: nan
* Validation Accuracy Seaweed: 0.0
* Validation Accuracy Spring onion: 0.0
* Validation Accuracy Rape: nan
* Validation Accuracy Ginger: nan
* Validation Accuracy Okra: nan
* Validation Accuracy Lettuce: 0.0
* Validation Accuracy Pumpkin: nan
* Validation Accuracy Cucumber: 0.0
* Validation Accuracy White radish: nan
* Validation Accuracy Carrot: 0.0060
* Validation Accuracy Asparagus: 0.0
* Validation Accuracy Bamboo shoots: nan
* Validation Accuracy Broccoli: 0.0014
* Validation Accuracy Celery stick: 0.0
* Validation Accuracy Cilantro mint: 0.0
* Validation Accuracy Snow peas: nan
* Validation Accuracy Cabbage: nan
* Validation Accuracy Bean sprouts: nan
* Validation Accuracy Onion: 0.0010
* Validation Accuracy Pepper: 0.0
* Validation Accuracy Green beans: 0.0
* Validation Accuracy French beans: 0.0005
* Validation Accuracy King oyster mushroom: nan
* Validation Accuracy Shiitake: 0.0
* Validation Accuracy Enoki mushroom: nan
* Validation Accuracy Oyster mushroom: nan
* Validation Accuracy White button mushroom: nan
* Validation Accuracy Salad: nan
* Validation Accuracy Other ingredients: 0.0
* Validation Iou Background: 0.5433
* Validation Iou Candy: nan
* Validation Iou Egg tart: 0.0
* Validation Iou French fries: 0.0
* Validation Iou Chocolate: 0.0
* Validation Iou Biscuit: 0.0
* Validation Iou Popcorn: 0.0
* Validation Iou Pudding: nan
* Validation Iou Ice cream: 0.0217
* Validation Iou Cheese butter: 0.0
* Validation Iou Cake: 0.0043
* Validation Iou Wine: nan
* Validation Iou Milkshake: 0.0
* Validation Iou Coffee: 0.0
* Validation Iou Juice: nan
* Validation Iou Milk: 0.0
* Validation Iou Tea: nan
* Validation Iou Almond: 0.0
* Validation Iou Red beans: 0.0
* Validation Iou Cashew: 0.0
* Validation Iou Dried cranberries: 0.0
* Validation Iou Soy: 0.0
* Validation Iou Walnut: nan
* Validation Iou Peanut: nan
* Validation Iou Egg: 0.0
* Validation Iou Apple: 0.0
* Validation Iou Date: nan
* Validation Iou Apricot: nan
* Validation Iou Avocado: nan
* Validation Iou Banana: 0.0
* Validation Iou Strawberry: 0.0
* Validation Iou Cherry: 0.0
* Validation Iou Blueberry: 0.0
* Validation Iou Raspberry: 0.0
* Validation Iou Mango: 0.0
* Validation Iou Olives: 0.0
* Validation Iou Peach: nan
* Validation Iou Lemon: 0.0
* Validation Iou Pear: nan
* Validation Iou Fig: 0.0
* Validation Iou Pineapple: 0.0
* Validation Iou Grape: 0.0
* Validation Iou Kiwi: 0.0
* Validation Iou Melon: nan
* Validation Iou Orange: 0.0
* Validation Iou Watermelon: 0.0
* Validation Iou Steak: 0.0127
* Validation Iou Pork: 0.0233
* Validation Iou Chicken duck: 0.0287
* Validation Iou Sausage: 0.0
* Validation Iou Fried meat: 0.0
* Validation Iou Lamb: nan
* Validation Iou Sauce: 0.0032
* Validation Iou Crab: 0.0
* Validation Iou Fish: 0.0
* Validation Iou Shellfish: 0.0
* Validation Iou Shrimp: 0.0026
* Validation Iou Soup: nan
* Validation Iou Bread: 0.0855
* Validation Iou Corn: 0.0
* Validation Iou Hamburg: nan
* Validation Iou Pizza: 0.0
* Validation Iou Hanamaki baozi: nan
* Validation Iou Wonton dumplings: 0.0
* Validation Iou Pasta: 0.0
* Validation Iou Noodles: 0.0019
* Validation Iou Rice: 0.0
* Validation Iou Pie: 0.0079
* Validation Iou Tofu: 0.0
* Validation Iou Eggplant: nan
* Validation Iou Potato: 0.0065
* Validation Iou Garlic: 0.0
* Validation Iou Cauliflower: 0.0
* Validation Iou Tomato: 0.0025
* Validation Iou Kelp: nan
* Validation Iou Seaweed: 0.0
* Validation Iou Spring onion: 0.0
* Validation Iou Rape: nan
* Validation Iou Ginger: nan
* Validation Iou Okra: nan
* Validation Iou Lettuce: 0.0
* Validation Iou Pumpkin: 0.0
* Validation Iou Cucumber: 0.0
* Validation Iou White radish: 0.0
* Validation Iou Carrot: 0.0049
* Validation Iou Asparagus: 0.0
* Validation Iou Bamboo shoots: nan
* Validation Iou Broccoli: 0.0012
* Validation Iou Celery stick: 0.0
* Validation Iou Cilantro mint: 0.0
* Validation Iou Snow peas: 0.0
* Validation Iou Cabbage: 0.0
* Validation Iou Bean sprouts: nan
* Validation Iou Onion: 0.0010
* Validation Iou Pepper: 0.0
* Validation Iou Green beans: 0.0
* Validation Iou French beans: 0.0005
* Validation Iou King oyster mushroom: nan
* Validation Iou Shiitake: 0.0
* Validation Iou Enoki mushroom: nan
* Validation Iou Oyster mushroom: 0.0
* Validation Iou White button mushroom: 0.0
* Validation Iou Salad: nan
* Validation Iou Other ingredients: 0.0
* Epoch: 2


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:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 6e-05, 'decay\_steps': 750, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.27.4
* TensorFlow 2.9.1
* Datasets 2.11.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 6e-05, 'decay\_steps': 750, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.4
* TensorFlow 2.9.1
* Datasets 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #segformer #generated_from_keras_callback #license-other #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 6e-05, 'decay\_steps': 750, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.4
* TensorFlow 2.9.1
* Datasets 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #segformer #generated_from_keras_callback #license-other #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 6e-05, 'decay\_steps': 750, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.27.4
* TensorFlow 2.9.1
* Datasets 2.11.0
* Tokenizers 0.13.2