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 3420, 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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| 3428 |
"mean_token_accuracy": 0.7566501721739769,
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"num_tokens": 15885904.0,
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"step": 3410
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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": 7.
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| 3451 |
"train_batch_size": 4,
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| 3452 |
"trial_name": null,
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| 3453 |
"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": 0.7296,
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"eval_steps": 500,
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"global_step": 3420,
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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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| 3428 |
"mean_token_accuracy": 0.7566501721739769,
|
| 3429 |
"num_tokens": 15885904.0,
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| 3430 |
"step": 3410
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| 3431 |
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},
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| 3432 |
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{
|
| 3433 |
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"entropy": 1.0563621714711189,
|
| 3434 |
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"epoch": 0.7296,
|
| 3435 |
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"grad_norm": 0.3054843246936798,
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| 3436 |
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"learning_rate": 7.358319135552285e-05,
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| 3437 |
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"loss": 1.189220142364502,
|
| 3438 |
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"mean_token_accuracy": 0.738009649515152,
|
| 3439 |
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"num_tokens": 15937698.0,
|
| 3440 |
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"step": 3420
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| 3441 |
}
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| 3442 |
],
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| 3443 |
"logging_steps": 10,
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"attributes": {}
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}
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},
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| 3460 |
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"total_flos": 7.550473407794995e+16,
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| 3461 |
"train_batch_size": 4,
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| 3462 |
"trial_name": null,
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| 3463 |
"trial_params": null
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