End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jan31_19-50-51_5e18ccaef1c7/events.out.tfevents.1706730759.5e18ccaef1c7.978.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +61 -0
README.md
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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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This model is a fine-tuned version of [judith0/classification_INE_v2](https://huggingface.co/judith0/classification_INE_v2) on the imagefolder dataset.
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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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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9680851063829787
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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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This model is a fine-tuned version of [judith0/classification_INE_v2](https://huggingface.co/judith0/classification_INE_v2) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0682
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- Accuracy: 0.9681
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## Model description
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all_results.json
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{
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"epoch": 2.67,
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"eval_accuracy": 0.9680851063829787,
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"eval_loss": 0.06822928786277771,
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"eval_runtime": 2.886,
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"eval_samples_per_second": 32.571,
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"eval_steps_per_second": 1.039,
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"total_flos": 5.602696465869619e+16,
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"train_loss": 0.04628414081202613,
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"train_samples_per_second": 39.242,
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"train_steps_per_second": 0.281
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}
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eval_results.json
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{
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"epoch": 2.67,
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"eval_accuracy": 0.9680851063829787,
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"eval_loss": 0.06822928786277771,
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"eval_runtime": 2.886,
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"eval_samples_per_second": 32.571,
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"eval_steps_per_second": 1.039
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}
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runs/Jan31_19-50-51_5e18ccaef1c7/events.out.tfevents.1706730759.5e18ccaef1c7.978.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a18024d42b676d6b5ed78cc91d3a7c712bbe83851d153fb74ef0276de574102
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size 405
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train_results.json
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{
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"epoch": 2.67,
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"total_flos": 5.602696465869619e+16,
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"train_loss": 0.04628414081202613,
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"train_runtime": 64.1398,
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"train_samples_per_second": 39.242,
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"train_steps_per_second": 0.281
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}
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trainer_state.json
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{
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"best_metric": 0.9680851063829787,
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"best_model_checkpoint": "classification_INE_v2-finetuned-eurosat/checkpoint-6",
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"epoch": 2.6666666666666665,
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"eval_steps": 500,
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"global_step": 18,
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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": 0.89,
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"eval_accuracy": 0.9680851063829787,
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"eval_loss": 0.06822928786277771,
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"eval_runtime": 1.5962,
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"eval_samples_per_second": 58.889,
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"eval_steps_per_second": 1.879,
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"step": 6
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},
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{
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"epoch": 1.48,
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"learning_rate": 2.5e-05,
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"loss": 0.0563,
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"step": 10
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{
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"epoch": 1.93,
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"eval_accuracy": 0.9574468085106383,
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"eval_loss": 0.096346914768219,
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"eval_runtime": 1.5636,
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"eval_samples_per_second": 60.119,
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"eval_steps_per_second": 1.919,
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"step": 13
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},
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{
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"epoch": 2.67,
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"step": 18
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"total_flos": 5.602696465869619e+16,
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],
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"logging_steps": 10,
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"max_steps": 18,
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"num_train_epochs": 3,
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"save_steps": 500,
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}
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