Commit
•
4d72b77
1
Parent(s):
379a0b2
End of training
Browse files- README.md +5 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep19_23-09-43_zzhang/events.out.tfevents.1726758909.zzhang.15856.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +542 -0
README.md
CHANGED
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@@ -3,6 +3,8 @@ library_name: transformers
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-beans
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-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
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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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## Model description
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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+
- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-beans
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+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0662
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- Accuracy: 0.9850
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## Model description
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all_results.json
ADDED
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9849624060150376,
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"eval_loss": 0.06617802381515503,
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+
"eval_runtime": 0.783,
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+
"eval_samples_per_second": 169.849,
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"eval_steps_per_second": 21.71,
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"total_flos": 4.006371770595533e+17,
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+
"train_loss": 0.21963719349641067,
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+
"train_runtime": 49.864,
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+
"train_samples_per_second": 103.682,
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"train_steps_per_second": 13.035
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}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9849624060150376,
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+
"eval_loss": 0.06617802381515503,
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+
"eval_runtime": 0.783,
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"eval_samples_per_second": 169.849,
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"eval_steps_per_second": 21.71
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}
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runs/Sep19_23-09-43_zzhang/events.out.tfevents.1726758909.zzhang.15856.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2b3385e2496630da7bf3ecc301b7823cb740f644cdb80b8ef39ef2cb8b3ca28d
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+
size 411
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 4.006371770595533e+17,
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"train_loss": 0.21963719349641067,
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+
"train_runtime": 49.864,
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"train_samples_per_second": 103.682,
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"train_steps_per_second": 13.035
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}
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trainer_state.json
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{
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"best_metric": 0.06617802381515503,
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| 3 |
+
"best_model_checkpoint": "./beans_outputs/checkpoint-520",
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| 4 |
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"epoch": 5.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 650,
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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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"log_history": [
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"learning_rate": 1.9692307692307696e-05,
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"loss": 1.0245,
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"step": 10
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"learning_rate": 1.9384615384615386e-05,
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"loss": 0.9455,
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"step": 20
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"epoch": 0.23076923076923078,
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"loss": 0.84,
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"step": 30
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"epoch": 0.3076923076923077,
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"loss": 0.6962,
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"step": 40
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{
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"epoch": 0.38461538461538464,
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"loss": 0.6628,
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"step": 50
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"learning_rate": 1.8153846153846155e-05,
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"loss": 0.5827,
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