🍻 cheers
Browse files- README.md +6 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Oct07_16-01-53_efd0d9aa04b4/events.out.tfevents.1728319587.efd0d9aa04b4.3229.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1743 -0
README.md
CHANGED
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@@ -3,6 +3,7 @@ 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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datasets:
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- imagefolder
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@@ -15,7 +16,7 @@ model-index:
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -31,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
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# finetuned-arsenic
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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: 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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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: indian_food_images
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9993451211525868
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned-arsenic
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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 indian_food_images dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0048
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+
- Accuracy: 0.9993
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## Model description
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| 41 |
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all_results.json
ADDED
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9993451211525868,
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+
"eval_loss": 0.0047513521276414394,
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+
"eval_runtime": 53.3656,
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+
"eval_samples_per_second": 28.614,
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+
"eval_steps_per_second": 3.579,
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"total_flos": 2.6818427765818e+18,
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+
"train_loss": 0.0841421499820822,
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+
"train_runtime": 2597.595,
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+
"train_samples_per_second": 13.323,
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"train_steps_per_second": 0.833
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9993451211525868,
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"eval_loss": 0.0047513521276414394,
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+
"eval_runtime": 53.3656,
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"eval_samples_per_second": 28.614,
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"eval_steps_per_second": 3.579
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}
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runs/Oct07_16-01-53_efd0d9aa04b4/events.out.tfevents.1728319587.efd0d9aa04b4.3229.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:981e50a825a3773a3d80bd9d1ea2d9197665fff9d6605b4505da276baf04d7d6
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+
size 411
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train_results.json
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{
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"epoch": 4.0,
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+
"total_flos": 2.6818427765818e+18,
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+
"train_loss": 0.0841421499820822,
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+
"train_runtime": 2597.595,
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+
"train_samples_per_second": 13.323,
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"train_steps_per_second": 0.833
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}
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trainer_state.json
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