Brain MRI 🧠 fine tune - 5 more epochs.
Browse files- README.md +4 -3
- all_results.json +7 -7
- config.json +1 -0
- eval_results.json +3 -3
- runs/Aug25_14-59-05_DESKTOP-4SGMSGR/events.out.tfevents.1724587547.DESKTOP-4SGMSGR.35484.2 +3 -0
- train_results.json +4 -4
- trainer_state.json +4 -4
README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-brain-mri
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on
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It achieves the following results on the evaluation set:
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## Model description
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-brain-mri
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the BrainMRI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1720
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- Accuracy: 0.5305
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## Model description
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all_results.json
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"epoch": 5.0,
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"eval_accuracy": 0.5304568527918782,
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"eval_loss": 1.1719971895217896,
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 5.0,
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"eval_accuracy": 0.5304568527918782,
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"eval_loss": 1.1719971895217896,
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"eval_runtime": 7.6226,
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"eval_samples_per_second": 51.688,
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"eval_steps_per_second": 6.559,
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.0,
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"train_runtime": 0.201,
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"train_samples_per_second": 57114.909,
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"train_steps_per_second": 1791.06
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}
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config.json
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2"
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2"
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eval_results.json
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"epoch": 5.0,
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"eval_accuracy": 0.5304568527918782,
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"eval_loss": 1.1719971895217896,
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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"epoch": 5.0,
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"eval_accuracy": 0.5304568527918782,
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"eval_loss": 1.1719971895217896,
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"eval_runtime": 7.6226,
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"eval_samples_per_second": 51.688,
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"eval_steps_per_second": 6.559
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}
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runs/Aug25_14-59-05_DESKTOP-4SGMSGR/events.out.tfevents.1724587547.DESKTOP-4SGMSGR.35484.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f41fa93b280a6b03bd826d200fb3eb46ef16539cc3ef13cbd7113a46f19887a
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size 363
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 5.0,
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.0,
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"train_runtime": 0.201,
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"train_samples_per_second": 57114.909,
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"train_steps_per_second": 1791.06
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}
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trainer_state.json
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"epoch": 5.0,
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"step": 360,
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 100,
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"epoch": 5.0,
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"step": 360,
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"total_flos": 8.896239873264845e+17,
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"train_loss": 0.0,
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"train_runtime": 0.201,
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"train_samples_per_second": 57114.909,
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"train_steps_per_second": 1791.06
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}
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],
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"logging_steps": 100,
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