Commit
•
de147e8
1
Parent(s):
1a6a553
End of training
Browse files- README.md +5 -3
- all_results.json +13 -0
- eval_results.json +8 -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: 0.0667
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- Accuracy: 0.9925
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9924812030075187,
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"eval_loss": 0.0667242482304573,
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"eval_runtime": 1.7643,
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"eval_samples_per_second": 75.384,
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"eval_steps_per_second": 9.636,
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"total_flos": 4.006371770595533e+17,
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"train_loss": 0.21898786434760462,
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"train_runtime": 156.7087,
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"train_samples_per_second": 32.991,
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"train_steps_per_second": 4.148
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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": 0.9924812030075187,
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"eval_loss": 0.0667242482304573,
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"eval_runtime": 1.7643,
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"eval_samples_per_second": 75.384,
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"eval_steps_per_second": 9.636
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}
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train_results.json
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@@ -0,0 +1,8 @@
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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": 0.21898786434760462,
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"train_runtime": 156.7087,
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"train_samples_per_second": 32.991,
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"train_steps_per_second": 4.148
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}
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trainer_state.json
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{
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"best_metric": 0.0667242482304573,
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"best_model_checkpoint": "./beans_outputs/checkpoint-520",
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"epoch": 5.0,
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| 5 |
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"eval_steps": 500,
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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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{
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"grad_norm": 2.219895124435425,
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"learning_rate": 1.9692307692307696e-05,
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"loss": 1.0246,
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"step": 10
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{
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"epoch": 0.15384615384615385,
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"learning_rate": 1.9384615384615386e-05,
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"loss": 0.9458,
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"step": 20
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{
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"epoch": 0.23076923076923078,
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"learning_rate": 1.907692307692308e-05,
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"loss": 0.843,
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"step": 30
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},
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{
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"epoch": 0.3076923076923077,
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"grad_norm": 2.629420518875122,
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"learning_rate": 1.876923076923077e-05,
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"loss": 0.6982,
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"step": 40
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},
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{
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"epoch": 0.38461538461538464,
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"grad_norm": 4.437777519226074,
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"learning_rate": 1.8461538461538465e-05,
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"loss": 0.6645,
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"step": 50
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},
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{
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"epoch": 0.46153846153846156,
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"grad_norm": 2.107313632965088,
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"learning_rate": 1.8153846153846155e-05,
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"loss": 0.589,
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"step": 60
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},
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{
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"epoch": 0.5384615384615384,
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"grad_norm": 1.8212175369262695,
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"learning_rate": 1.784615384615385e-05,
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"loss": 0.525,
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"step": 70
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},
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{
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"epoch": 0.6153846153846154,
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"grad_norm": 1.2224074602127075,
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"learning_rate": 1.753846153846154e-05,
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