End of training
Browse files- all_results.json +8 -0
- eval_results.json +8 -0
- openvino_model.xml +0 -0
- trainer_state.json +24 -0
all_results.json
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{
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"eval_accuracy": 0.9128440366972477,
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"eval_loss": 0.40290766954421997,
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"eval_runtime": 22.3258,
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"eval_samples": 872,
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"eval_samples_per_second": 39.058,
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"eval_steps_per_second": 4.882
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}
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eval_results.json
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{
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"eval_accuracy": 0.9128440366972477,
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"eval_loss": 0.40290766954421997,
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"eval_runtime": 22.3258,
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"eval_samples": 872,
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"eval_samples_per_second": 39.058,
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"eval_steps_per_second": 4.882
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}
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openvino_model.xml
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": null,
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"global_step": 0,
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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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"eval_accuracy": 0.9128440366972477,
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"eval_loss": 0.40290766954421997,
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"eval_runtime": 22.3258,
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"eval_samples_per_second": 39.058,
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"eval_steps_per_second": 4.882,
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"step": 0
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}
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],
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"max_steps": 0,
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"num_train_epochs": 0,
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"total_flos": 0,
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"trial_name": null,
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"trial_params": null
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}
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