initial commit

README.md

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+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- image-classification
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: tumour
+ 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. -->
+
+# tumour
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the essam24/brain-tumour-v1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8286
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log | 1.0 | 195 | 4.5083 |
+| No log | 2.0 | 390 | 1.4575 |
+| 3.0791 | 3.0 | 585 | 0.9050 |
+| 3.0791 | 4.0 | 780 | 0.8538 |
+| 3.0791 | 5.0 | 975 | 0.8286 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+ "epoch": 5.0,
+ "eval_loss": 0.8285718560218811,
+ "eval_runtime": 79.5915,
+ "eval_samples_per_second": 10.177,
+ "eval_steps_per_second": 0.641,
+ "total_flos": 3.588142521058099e+17,
+ "train_loss": 1.746917755909455,
+ "train_runtime": 2049.8226,
+ "train_samples_per_second": 7.584,
+ "train_steps_per_second": 0.476
+}

config.json

@@ -0,0 +1,51 @@
+{
+ "_name_or_path": "microsoft/resnet-50",
+ "architectures": [
+ "ResNetForImageClassification"
+ ],
+ "depths": [
+ 3,
+ 4,
+ 6,
+ 3
+ ],
+ "downsample_in_bottleneck": false,
+ "downsample_in_first_stage": false,
+ "embedding_size": 64,
+ "hidden_act": "relu",
+ "hidden_sizes": [
+ 256,
+ 512,
+ 1024,
+ 2048
+ ],
+ "id2label": {
+ "0": "LABEL_0",
+ "1": "LABEL_1",
+ "2": "LABEL_2"
+ },
+ "label2id": {
+ "LABEL_0": 0,
+ "LABEL_1": 1,
+ "LABEL_2": 2
+ },
+ "layer_type": "bottleneck",
+ "model_type": "resnet",
+ "num_channels": 3,
+ "out_features": [
+ "stage4"
+ ],
+ "out_indices": [
+ 4
+ ],
+ "problem_type": "single_label_classification",
+ "stage_names": [
+ "stem",
+ "stage1",
+ "stage2",
+ "stage3",
+ "stage4"
+ ],
+ "torch_dtype": "float32",
+ "transformers_version": "4.42.4"
+}

eval_results.json

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+{
+ "epoch": 5.0,
+ "eval_loss": 0.8285718560218811,
+ "eval_runtime": 79.5915,
+ "eval_samples_per_second": 10.177,
+ "eval_steps_per_second": 0.641
+}

model.safetensors

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train_results.json

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+{
+ "epoch": 5.0,
+ "total_flos": 3.588142521058099e+17,
+ "train_loss": 1.746917755909455,
+ "train_runtime": 2049.8226,
+ "train_samples_per_second": 7.584,
+ "train_steps_per_second": 0.476
+}

trainer_state.json

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+{
+ "best_metric": 0.8285718560218811,
+ "best_model_checkpoint": "./results/resnet/tumour/checkpoint-975",
+ "epoch": 5.0,
+ "eval_steps": 500,
+ "global_step": 975,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "epoch": 1.0,
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+ "eval_runtime": 77.3249,
+ "eval_samples_per_second": 10.475,
+ "eval_steps_per_second": 0.66,
+ "step": 195
+ },
+ {
+ "epoch": 2.0,
+ "eval_loss": 1.457480549812317,
+ "eval_runtime": 77.608,
+ "eval_samples_per_second": 10.437,
+ "eval_steps_per_second": 0.657,
+ "step": 390
+ },
+ {
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+ "grad_norm": 205.6478729248047,
+ "learning_rate": 9.743589743589744e-06,
+ "loss": 3.0791,
+ "step": 500
+ },
+ {
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+ "eval_loss": 0.9050098657608032,
+ "eval_runtime": 78.6283,
+ "eval_samples_per_second": 10.302,
+ "eval_steps_per_second": 0.649,
+ "step": 585
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+ {
+ "epoch": 4.0,
+ "eval_loss": 0.8538194298744202,
+ "eval_runtime": 79.9143,
+ "eval_samples_per_second": 10.136,
+ "eval_steps_per_second": 0.638,
+ "step": 780
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+ {
+ "epoch": 5.0,
+ "eval_loss": 0.8285718560218811,
+ "eval_runtime": 79.1036,
+ "eval_samples_per_second": 10.24,
+ "eval_steps_per_second": 0.645,
+ "step": 975
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+ {
+ "epoch": 5.0,
+ "step": 975,
+ "total_flos": 3.588142521058099e+17,
+ "train_loss": 1.746917755909455,
+ "train_runtime": 2049.8226,
+ "train_samples_per_second": 7.584,
+ "train_steps_per_second": 0.476
+ }
+ ],
+ "logging_steps": 500,
+ "max_steps": 975,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 5,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.588142521058099e+17,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}

training_args.bin

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