End of training

README.md

@@ -0,0 +1,78 @@
+---
+license: apache-2.0
+base_model: facebook/detr-resnet-101
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: detr-resnet-101_adafactor_finetuned_food-roboflow
+  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. -->
+
+# detr-resnet-101_adafactor_finetuned_food-roboflow
+
+This model is a fine-tuned version of [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1003
+
+## 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: 1e-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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.5311        | 0.77  | 50   | 6.4188          |
+| 5.6597        | 1.54  | 100  | 5.8132          |
+| 5.1568        | 2.31  | 150  | 5.1265          |
+| 4.4672        | 3.08  | 200  | 4.3264          |
+| 3.8033        | 3.85  | 250  | 3.9444          |
+| 3.2053        | 4.62  | 300  | 3.6319          |
+| 3.127         | 5.38  | 350  | 3.3079          |
+| 2.9082        | 6.15  | 400  | 3.1760          |
+| 2.8546        | 6.92  | 450  | 3.1659          |
+| 2.8393        | 7.69  | 500  | 3.0233          |
+| 2.6973        | 8.46  | 550  | 3.0817          |
+| 2.7047        | 9.23  | 600  | 3.0849          |
+| 2.673         | 10.0  | 650  | 3.1122          |
+| 2.6781        | 10.77 | 700  | 3.0709          |
+| 2.5901        | 11.54 | 750  | 3.0382          |
+| 2.6568        | 12.31 | 800  | 3.0246          |
+| 2.5929        | 13.08 | 850  | 3.0384          |
+| 2.5709        | 13.85 | 900  | 2.9862          |
+| 2.5784        | 14.62 | 950  | 3.1003          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e6c8d8290605bed71e486165a4f455037df1770e5fe42b96d38b9fb5069bf68
+oid sha256:40d7b19062d20d0205b44aae1f3edacc9b773c52226baa3d90348be3069047c3
 size 242826900

runs/Nov11_15-59-49_e6ba6fbcc903/events.out.tfevents.1699718406.e6ba6fbcc903.25053.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e1417d0978095144397edd5c1fa7bae215e4dd997bdf003fbb866df57d88ff69
-size 15101
+oid sha256:132345567eee2f7982568c81050fd0fecdf016059bece7241f1757899fa8cc0c
+size 19307