khaingsmon
commited on
Commit
•
9ad8b50
1
Parent(s):
3ffe17f
cheers again
Browse files- README.md +2 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +62 -0
README.md
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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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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# test-hasy-7
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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: 3.4984
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- Accuracy: 0.4200
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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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metrics:
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- accuracy
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# test-hasy-7
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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 HASY dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4984
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- Accuracy: 0.4200
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all_results.json
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{
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"epoch": 2.0,
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"eval_accuracy": 0.41995841995842,
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"eval_loss": 3.498389959335327,
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"eval_runtime": 1.6011,
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"eval_samples_per_second": 300.417,
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"eval_steps_per_second": 38.099,
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"total_flos": 6.710386542096384e+17,
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"train_loss": 3.9836128502808745,
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"train_runtime": 79.2434,
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"train_samples_per_second": 109.157,
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"train_steps_per_second": 13.654
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_accuracy": 0.41995841995842,
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"eval_loss": 3.498389959335327,
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"eval_runtime": 1.6011,
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"eval_samples_per_second": 300.417,
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"eval_steps_per_second": 38.099
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}
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train_results.json
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{
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"epoch": 2.0,
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"total_flos": 6.710386542096384e+17,
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"train_loss": 3.9836128502808745,
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"train_runtime": 79.2434,
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"train_samples_per_second": 109.157,
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"train_steps_per_second": 13.654
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}
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trainer_state.json
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{
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"best_metric": 0.41995841995842,
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"best_model_checkpoint": "test-hasy-7/checkpoint-1082",
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 1082,
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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": 0.92,
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"grad_norm": 2.9993338584899902,
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"learning_rate": 1.0757855822550833e-05,
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"loss": 4.2372,
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"step": 500
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.367983367983368,
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"eval_loss": 3.7456552982330322,
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"eval_runtime": 1.5608,
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"eval_samples_per_second": 308.179,
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"eval_steps_per_second": 39.083,
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"step": 541
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},
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{
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"epoch": 1.85,
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"grad_norm": 4.245122909545898,
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"learning_rate": 1.5157116451016638e-06,
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"loss": 3.7808,
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"step": 1000
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.41995841995842,
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"eval_loss": 3.498389959335327,
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"eval_runtime": 1.5566,
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"eval_samples_per_second": 308.998,
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"eval_steps_per_second": 39.187,
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"step": 1082
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},
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{
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"epoch": 2.0,
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"step": 1082,
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"total_flos": 6.710386542096384e+17,
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"train_loss": 3.9836128502808745,
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"train_runtime": 79.2434,
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"train_samples_per_second": 109.157,
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"train_steps_per_second": 13.654
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}
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],
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"logging_steps": 500,
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"max_steps": 1082,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 2,
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"save_steps": 500,
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"total_flos": 6.710386542096384e+17,
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"train_batch_size": 8,
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"trial_name": null,
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"trial_params": null
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}
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