Instructions to use moos124/code-reasoning-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moos124/code-reasoning-0.5b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moos124/code-reasoning-0.5b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3690, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.
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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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"mean_token_accuracy": 0.7587296038866043,
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"num_tokens": 17144177.0,
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"step": 3680
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}
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],
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"logging_steps": 10,
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"attributes": {}
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}
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},
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"total_flos": 8.
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"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.7872,
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"eval_steps": 500,
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"global_step": 3690,
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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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| 3698 |
"mean_token_accuracy": 0.7587296038866043,
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| 3699 |
"num_tokens": 17144177.0,
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| 3700 |
"step": 3680
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| 3701 |
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},
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| 3702 |
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{
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| 3703 |
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"entropy": 0.9973213374614716,
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| 3704 |
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"epoch": 0.7872,
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| 3705 |
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"grad_norm": 0.2418157011270523,
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| 3706 |
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"learning_rate": 6.936578051443219e-05,
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| 3707 |
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"loss": 1.1423637390136718,
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| 3708 |
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"mean_token_accuracy": 0.7530387908220291,
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| 3709 |
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"num_tokens": 17191263.0,
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| 3710 |
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"step": 3690
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| 3711 |
}
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| 3712 |
],
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| 3713 |
"logging_steps": 10,
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"attributes": {}
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}
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},
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"total_flos": 8.140795865154355e+16,
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| 3731 |
"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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