Instructions to use kamizane/FineTuningJsonscheme3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamizane/FineTuningJsonscheme3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kamizane/FineTuningJsonscheme3B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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| "eval_steps": 10, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "entropy": 2.116106641292572, | |
| "epoch": 0.07585335018963338, | |
| "grad_norm": 1.4921875, | |
| "learning_rate": 5.6250000000000005e-05, | |
| "loss": 2.914295959472656, | |
| "mean_token_accuracy": 0.5410080701112747, | |
| "num_tokens": 36823.0, | |
| "step": 10 | |
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| "eval_num_tokens": 36823.0, | |
| "eval_runtime": 14.7674, | |
| "eval_samples_per_second": 0.542, | |
| "eval_steps_per_second": 0.542, | |
| "step": 10 | |
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| "max_steps": 528, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 10, | |
| "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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| } | |