End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: apple/mobilevit-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_food_model
+  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. -->
+
+# my_food_model
+
+This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0492
+- Accuracy: 0.7236
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 4.4987        | 1.0   | 592   | 4.4835          | 0.1002   |
+| 3.6382        | 2.0   | 1184  | 3.4318          | 0.2707   |
+| 2.9497        | 3.0   | 1776  | 2.5897          | 0.3945   |
+| 2.586         | 4.0   | 2368  | 2.1261          | 0.4824   |
+| 2.2806        | 5.0   | 2960  | 1.8201          | 0.5501   |
+| 2.0928        | 6.0   | 3552  | 1.6291          | 0.5896   |
+| 1.9839        | 7.0   | 4144  | 1.4954          | 0.6145   |
+| 1.8465        | 8.0   | 4736  | 1.4209          | 0.6333   |
+| 1.6939        | 9.0   | 5328  | 1.3486          | 0.6493   |
+| 1.6212        | 10.0  | 5920  | 1.2959          | 0.6616   |
+| 1.6672        | 11.0  | 6512  | 1.2299          | 0.6744   |
+| 1.5973        | 12.0  | 7104  | 1.2018          | 0.6871   |
+| 1.5419        | 13.0  | 7696  | 1.1750          | 0.6928   |
+| 1.5003        | 14.0  | 8288  | 1.1297          | 0.7017   |
+| 1.4908        | 15.0  | 8880  | 1.1184          | 0.7030   |
+| 1.4033        | 16.0  | 9472  | 1.0983          | 0.7125   |
+| 1.4015        | 17.0  | 10064 | 1.0832          | 0.7159   |
+| 1.3651        | 18.0  | 10656 | 1.0728          | 0.7134   |
+| 1.3698        | 19.0  | 11248 | 1.0678          | 0.7166   |
+| 1.4136        | 20.0  | 11840 | 1.0541          | 0.7217   |
+| 1.4679        | 21.0  | 12432 | 1.0542          | 0.7208   |
+| 1.3328        | 22.0  | 13024 | 1.0466          | 0.7253   |
+| 1.2773        | 23.0  | 13616 | 1.0655          | 0.7188   |
+| 1.342         | 24.0  | 14208 | 1.0471          | 0.7236   |
+| 1.3437        | 25.0  | 14800 | 1.0492          | 0.7236   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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