🍻 cheers
Browse files- README.md +6 -5
- all_results.json +12 -12
- eval_results.json +8 -8
- runs/Mar27_15-52-23_ryanserver/events.out.tfevents.1711570860.ryanserver.25227.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +979 -21
README.md
CHANGED
@@ -2,6 +2,7 @@
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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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model-index:
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- name: ryan_model3272024
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# ryan_model3272024
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Na Accuracy: 0.
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- Ordinal Accuracy: 0.
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- Ordinal Mae:
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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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- generated_from_trainer
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model-index:
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- name: ryan_model3272024
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# ryan_model3272024
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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: 1.0327
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- Na Accuracy: 0.956
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- Ordinal Accuracy: 0.568
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- Ordinal Mae: 56.3484
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## Model description
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all_results.json
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{
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"epoch":
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"eval_loss": 1.
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"eval_na_accuracy": 0.
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"eval_ordinal_accuracy": 0.
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"eval_ordinal_mae":
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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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"train_loss":
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"train_runtime":
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"train_samples_per_second": 12.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 3.83,
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"eval_loss": 1.0327022075653076,
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"eval_na_accuracy": 0.956,
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+
"eval_ordinal_accuracy": 0.568,
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"eval_ordinal_mae": 56.34840202213265,
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"eval_runtime": 20.4149,
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"eval_samples_per_second": 24.492,
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"eval_steps_per_second": 3.086,
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"train_loss": 0.6305676238735517,
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"train_runtime": 1636.5913,
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"train_samples_per_second": 12.221,
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"train_steps_per_second": 0.765
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}
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eval_results.json
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{
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"epoch":
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"eval_loss": 1.
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"eval_na_accuracy": 0.
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"eval_ordinal_accuracy": 0.
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"eval_ordinal_mae":
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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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{
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"epoch": 3.83,
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"eval_loss": 1.0327022075653076,
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"eval_na_accuracy": 0.956,
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"eval_ordinal_accuracy": 0.568,
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"eval_ordinal_mae": 56.34840202213265,
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"eval_runtime": 20.4149,
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"eval_samples_per_second": 24.492,
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"eval_steps_per_second": 3.086
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}
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runs/Mar27_15-52-23_ryanserver/events.out.tfevents.1711570860.ryanserver.25227.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5255e5c83d495937a64e35fc9ee5b6a6cf7c8721a14a86cf099a7c3429ad11b
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size 529
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train_results.json
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{
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"epoch":
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"train_loss":
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"train_runtime":
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"train_samples_per_second": 12.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 3.83,
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"train_loss": 0.6305676238735517,
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"train_runtime": 1636.5913,
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"train_samples_per_second": 12.221,
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"train_steps_per_second": 0.765
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}
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trainer_state.json
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{
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"best_metric":
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"best_model_checkpoint":
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"epoch":
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"eval_steps": 100,
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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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"log_history": [
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{
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"epoch":
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"grad_norm":
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"learning_rate": 0.
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"loss": 1.
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"step": 10
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},
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{
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"epoch":
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"grad_norm":
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"learning_rate":
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"loss": 1.
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"step": 20
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},
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{
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"epoch":
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