Commit
•
e851381
1
Parent(s):
c1d03b6
beit-mass-secondstep
Browse files- README.md +46 -53
- all_results.json +6 -6
- config.json +4 -4
- model.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +442 -568
- training_args.bin +1 -1
README.md
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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1 Score: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch
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| No log | 0.
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| 0.0013 | 36.9412 | 157 | 0.6365 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0013 | 37.8824 | 161 | 0.6695 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0001 | 38.8235 | 165 | 0.6846 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0001 | 40.0 | 170 | 0.6930 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0001 | 40.9412 | 174 | 0.6958 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0001 | 41.8824 | 178 | 0.6967 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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| 0.0044 | 42.3529 | 180 | 0.6952 | 0.9153 | 0.9120 | 0.9153 | 0.9132 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8528
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- Accuracy: 0.8268
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- Precision: 0.8303
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- Recall: 0.8268
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- F1 Score: 0.8283
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 48
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- eval_batch_size: 48
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 192
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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| No log | 0.8 | 2 | 0.6993 | 0.5882 | 0.5390 | 0.5882 | 0.5541 |
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| No log | 2.0 | 5 | 0.5971 | 0.6863 | 0.6806 | 0.6863 | 0.6033 |
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| No log | 2.8 | 7 | 0.5306 | 0.8039 | 0.8000 | 0.8039 | 0.8006 |
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| No log | 4.0 | 10 | 0.4828 | 0.7255 | 0.7229 | 0.7255 | 0.6859 |
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| No log | 4.8 | 12 | 0.3812 | 0.7843 | 0.7786 | 0.7843 | 0.7784 |
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| 0.5413 | 6.0 | 15 | 0.5268 | 0.7451 | 0.7461 | 0.7451 | 0.7141 |
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| 0.5413 | 6.8 | 17 | 0.5349 | 0.7451 | 0.8556 | 0.7451 | 0.7502 |
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| 0.5413 | 8.0 | 20 | 0.4120 | 0.8039 | 0.8485 | 0.8039 | 0.7756 |
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| 0.5413 | 8.8 | 22 | 0.3156 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
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| 0.5413 | 10.0 | 25 | 0.3217 | 0.8039 | 0.8061 | 0.8039 | 0.7909 |
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| 0.5413 | 10.8 | 27 | 0.5161 | 0.7843 | 0.7870 | 0.7843 | 0.7664 |
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| 0.0919 | 12.0 | 30 | 0.3677 | 0.8431 | 0.8498 | 0.8431 | 0.8451 |
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| 0.0919 | 12.8 | 32 | 0.4631 | 0.8431 | 0.8407 | 0.8431 | 0.8405 |
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| 0.0919 | 14.0 | 35 | 0.5001 | 0.8235 | 0.8214 | 0.8235 | 0.8221 |
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| 0.0919 | 14.8 | 37 | 0.4489 | 0.8431 | 0.8431 | 0.8431 | 0.8431 |
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| 0.0919 | 16.0 | 40 | 0.5892 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
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| 0.0919 | 16.8 | 42 | 0.6579 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
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| 0.006 | 18.0 | 45 | 0.7038 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
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| 0.006 | 18.8 | 47 | 0.5864 | 0.8627 | 0.8737 | 0.8627 | 0.8651 |
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| 0.006 | 20.0 | 50 | 0.5488 | 0.8627 | 0.8737 | 0.8627 | 0.8651 |
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| 0.006 | 20.8 | 52 | 0.6651 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
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| 0.006 | 22.0 | 55 | 0.6265 | 0.8039 | 0.8000 | 0.8039 | 0.8006 |
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| 0.006 | 22.8 | 57 | 0.5229 | 0.8627 | 0.8653 | 0.8627 | 0.8637 |
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| 0.0048 | 24.0 | 60 | 0.5421 | 0.8627 | 0.8653 | 0.8627 | 0.8637 |
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| 0.0048 | 24.8 | 62 | 0.6335 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
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| 0.0048 | 26.0 | 65 | 1.0379 | 0.8039 | 0.8201 | 0.8039 | 0.7841 |
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| 0.0048 | 26.8 | 67 | 0.9758 | 0.8235 | 0.8366 | 0.8235 | 0.8089 |
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| 0.0048 | 28.0 | 70 | 0.6117 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
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| 0.0048 | 28.8 | 72 | 0.5403 | 0.8627 | 0.8613 | 0.8627 | 0.8617 |
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| 0.0063 | 30.0 | 75 | 0.6469 | 0.8431 | 0.8407 | 0.8431 | 0.8405 |
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| 0.0063 | 30.8 | 77 | 0.7014 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
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| 0.0063 | 32.0 | 80 | 0.7514 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
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| 0.0063 | 32.8 | 82 | 0.7771 | 0.8235 | 0.8248 | 0.8235 | 0.8144 |
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| 0.0063 | 34.0 | 85 | 0.7599 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
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| 0.0063 | 34.8 | 87 | 0.7554 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
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| 0.0045 | 36.0 | 90 | 0.7308 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
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### Framework versions
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all_results.json
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{
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"epoch":
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"total_flos": 1.
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"train_loss": 0.
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"train_runtime":
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{
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"epoch": 36.0,
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"total_flos": 1.2659877490145034e+18,
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"train_loss": 0.10912525819407569,
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"train_samples_per_second": 21.523,
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"train_steps_per_second": 0.095
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}
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config.json
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 0.1,
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Benign",
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"1": "Malignant"
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Benign": 0,
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"Malignant": 1
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 0.1,
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model.safetensors
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size 343080328
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train_results.json
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{
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"epoch":
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{
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"epoch": 36.0,
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"total_flos": 1.2659877490145034e+18,
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"train_loss": 0.10912525819407569,
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trainer_state.json
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{
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"best_metric": 0.
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"best_model_checkpoint": "beit-base-patch16-224/checkpoint-
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"epoch":
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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{
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{
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"eval_precision": 0.
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| 493 |
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| 494 |
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| 495 |
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|
| 496 |
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| 497 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
}
|
| 506 |
],
|
| 507 |
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|
| 508 |
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"max_steps": 90,
|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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| 515 |
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|
| 516 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9c4f61894c45d65bf229deb2fd4dc876cbd903f9e7da4c19cfe4a3825e08c68
|
| 3 |
size 4984
|