🍻 cheers
Browse files- README.md +8 -5
- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Mar29_16-45-17_X5C922065N/events.out.tfevents.1711732953.X5C922065N.53009.5 +3 -0
- train_results.json +5 -5
- trainer_state.json +511 -728
README.md
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---
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base_model: d071696/vit-finetune-scrap
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tags:
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- generated_from_trainer
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datasets:
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- arrow
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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: arrow
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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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# vit-finetune-scrap
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This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) 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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---
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base_model: d071696/vit-finetune-scrap
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tags:
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- image-classification
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- image-feature-extraction
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- image-to-text
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- generated_from_trainer
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datasets:
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- arrow
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name: Image Classification
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type: image-classification
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dataset:
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name: d071696/scraps1
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type: arrow
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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: 0.9963782696177063
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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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# vit-finetune-scrap
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This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) on the d071696/scraps1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0129
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- Accuracy: 0.9964
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## Model description
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all_results.json
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runs/Mar29_16-45-17_X5C922065N/events.out.tfevents.1711732953.X5C922065N.53009.5
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size 734
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| 888 |
{
|
| 889 |
"epoch": 4.0,
|
| 890 |
+
"step": 1244,
|
| 891 |
+
"total_flos": 7.703325099767808e+17,
|
| 892 |
+
"train_loss": 0.1579143282675882,
|
| 893 |
+
"train_runtime": 491.3754,
|
| 894 |
+
"train_samples_per_second": 20.229,
|
| 895 |
+
"train_steps_per_second": 2.532
|
| 896 |
}
|
| 897 |
],
|
| 898 |
"logging_steps": 10,
|
| 899 |
+
"max_steps": 1244,
|
| 900 |
"num_input_tokens_seen": 0,
|
| 901 |
"num_train_epochs": 4,
|
| 902 |
"save_steps": 1000,
|
| 903 |
+
"total_flos": 7.703325099767808e+17,
|
| 904 |
"train_batch_size": 8,
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| 905 |
"trial_name": null,
|
| 906 |
"trial_params": null
|