Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Sync LoRA adapter: trainer_state.json
Browse files- trainer_state.json +29 -7
trainer_state.json
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{
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"best_global_step":
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"best_metric": 0.
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"best_model_checkpoint": "/home/workspace/Projects/NeuralAI/checkpoints/v2_model/checkpoint-
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"epoch":
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"eval_steps": 500,
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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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@@ -52,6 +52,28 @@
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"eval_samples_per_second": 2.33,
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"eval_steps_per_second": 2.33,
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"step": 46
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}
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],
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"logging_steps": 10,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop":
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},
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"attributes": {}
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}
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},
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"total_flos":
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"train_batch_size": 1,
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"trial_name": null,
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"trial_params": null
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{
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"best_global_step": 69,
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"best_metric": 0.7231942415237427,
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"best_model_checkpoint": "/home/workspace/Projects/NeuralAI/checkpoints/v2_model/checkpoint-69",
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 69,
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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": 2.33,
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"eval_steps_per_second": 2.33,
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"step": 46
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},
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{
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"epoch": 2.1763085399449036,
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"grad_norm": 0.31101763248443604,
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"learning_rate": 0.000196,
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"loss": 0.9162005424499512,
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"step": 50
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},
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{
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"epoch": 2.6170798898071626,
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"grad_norm": 0.32379862666130066,
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"learning_rate": 0.00010825793454723325,
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"loss": 0.7014970779418945,
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"step": 60
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},
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{
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"epoch": 3.0,
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"eval_loss": 0.7231942415237427,
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"eval_runtime": 17.6154,
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"eval_samples_per_second": 2.328,
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"eval_steps_per_second": 2.328,
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"step": 69
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}
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],
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"logging_steps": 10,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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},
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"attributes": {}
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}
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},
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"total_flos": 134948060628480.0,
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"train_batch_size": 1,
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"trial_name": null,
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"trial_params": null
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