End of training
Browse files- README.md +2 -2
- id2tag.json +0 -0
- logs/events.out.tfevents.1705984080.5feecac333ed.26.0 +3 -0
- model.safetensors +1 -1
- trainer_state.json +19 -5
- training_args.bin +1 -1
README.md
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8944
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## Model description
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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- mixed_precision_training: Native AMP
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### Training results
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id2tag.json
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logs/events.out.tfevents.1705984080.5feecac333ed.26.0
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model.safetensors
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trainer_state.json
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{
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"best_metric": 1.4253113269805908,
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"best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-13500",
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"epoch":
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"eval_steps": 750,
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"global_step":
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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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"eval_samples_per_second": 59.081,
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"eval_steps_per_second": 0.933,
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"step": 14250
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}
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],
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"logging_steps": 750,
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"max_steps":
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"num_input_tokens_seen": 0,
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"num_train_epochs":
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"save_steps": 750,
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"total_flos": 6.
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"train_batch_size": 16,
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"trial_name": null,
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"trial_params": null
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{
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"best_metric": 1.4253113269805908,
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"best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-13500",
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"epoch": 20.21522398113843,
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"eval_steps": 750,
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"global_step": 15000,
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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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"eval_samples_per_second": 59.081,
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"eval_steps_per_second": 0.933,
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"step": 14250
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},
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{
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"epoch": 20.22,
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"learning_rate": 4.899056603773585e-05,
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"loss": 2.6343,
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"step": 15000
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},
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{
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"epoch": 20.22,
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"eval_loss": 1.8943818807601929,
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"eval_runtime": 84.158,
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"eval_samples_per_second": 59.412,
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"eval_steps_per_second": 0.939,
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"step": 15000
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}
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],
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"logging_steps": 750,
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"max_steps": 37100,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 50,
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"save_steps": 750,
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"total_flos": 6.491998167150182e+17,
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"train_batch_size": 16,
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"trial_name": null,
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"trial_params": null
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training_args.bin
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