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 2400, 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": 0.7495349571108818,
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"num_tokens": 11117249.0,
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"step": 2390
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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": 5.
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| 2431 |
"train_batch_size": 4,
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| 2432 |
"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": 0.512,
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"eval_steps": 500,
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"global_step": 2400,
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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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| 2408 |
"mean_token_accuracy": 0.7495349571108818,
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| 2409 |
"num_tokens": 11117249.0,
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| 2410 |
"step": 2390
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| 2411 |
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| 2412 |
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{
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| 2413 |
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"entropy": 1.0916487082839013,
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| 2414 |
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"epoch": 0.512,
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| 2415 |
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"grad_norm": 0.31891921162605286,
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| 2416 |
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"learning_rate": 8.737340441993575e-05,
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| 2417 |
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"loss": 1.1685538291931152,
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| 2418 |
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"mean_token_accuracy": 0.7355501770973205,
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| 2419 |
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"num_tokens": 11167106.0,
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| 2420 |
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"step": 2400
|
| 2421 |
}
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| 2422 |
],
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| 2423 |
"logging_steps": 10,
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"attributes": {}
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}
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| 2439 |
},
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"total_flos": 5.297771188733952e+16,
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| 2441 |
"train_batch_size": 4,
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"trial_name": null,
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