End of training
Browse files- README.md +4 -2
- all_results.json +6 -6
- config.json +1 -0
- eval_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +3 -3
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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# 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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- Accuracy: 0.8647
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- Loss: 0.8840
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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: 0.8840
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- Accuracy: 0.8647
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## Model description
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all_results.json
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"epoch": 1.0,
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"eval_accuracy": 0.8646616541353384,
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"eval_loss": 0.8840129971504211,
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"eval_runtime": 7.
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 1.0,
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"eval_accuracy": 0.8646616541353384,
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"eval_loss": 0.8840129971504211,
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"eval_runtime": 7.4913,
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"eval_samples_per_second": 17.754,
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"eval_steps_per_second": 0.4,
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.1819,
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"train_samples_per_second": 5685.239,
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"train_steps_per_second": 93.471
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}
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config.json
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.43.0.dev0"
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.43.0.dev0"
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eval_results.json
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"epoch": 1.0,
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"eval_accuracy": 0.8646616541353384,
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"eval_loss": 0.8840129971504211,
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"eval_runtime": 7.
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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}
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"epoch": 1.0,
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"eval_accuracy": 0.8646616541353384,
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"eval_loss": 0.8840129971504211,
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"eval_runtime": 7.4913,
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"eval_samples_per_second": 17.754,
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"eval_steps_per_second": 0.4
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}
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train_results.json
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"epoch": 1.0,
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 1.0,
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.1819,
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"train_samples_per_second": 5685.239,
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"train_steps_per_second": 93.471
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}
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trainer_state.json
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"step": 17,
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 10,
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"step": 17,
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"total_flos": 8.012743541191066e+16,
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"train_loss": 0.0,
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"train_runtime": 0.1819,
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"train_samples_per_second": 5685.239,
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"train_steps_per_second": 93.471
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}
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],
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"logging_steps": 10,
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