Instructions to use CodeIsAbstract/HybridModelScratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.15, | |
| "eval_steps": 100, | |
| "global_step": 150, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 0.05, | |
| "grad_norm": 13.136443138122559, | |
| "learning_rate": 9.799999999999998e-05, | |
| "loss": 83.7759, | |
| "step": 50 | |
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| "epoch": 0.1, | |
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| "loss": 60.3835, | |
| "step": 100 | |
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| "epoch": 0.1, | |
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| "step": 100 | |
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| "epoch": 0.15, | |
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| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 1000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9223372036854775807, | |
| "save_steps": 150, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
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| "should_training_stop": false | |
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| "attributes": {} | |
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| "total_flos": 3.17716313407488e+16, | |
| "train_batch_size": 32, | |
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| } | |