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 3840, 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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| 3848 |
"mean_token_accuracy": 0.7393553704023361,
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| 3849 |
"num_tokens": 17849058.0,
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| 3850 |
"step": 3830
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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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| 3871 |
"train_batch_size": 4,
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| 3872 |
"trial_name": null,
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| 3873 |
"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": 0.8192,
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"eval_steps": 500,
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"global_step": 3840,
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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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| 3848 |
"mean_token_accuracy": 0.7393553704023361,
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| 3849 |
"num_tokens": 17849058.0,
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| 3850 |
"step": 3830
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| 3851 |
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},
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| 3852 |
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{
|
| 3853 |
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"entropy": 0.9971455112099648,
|
| 3854 |
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"epoch": 0.8192,
|
| 3855 |
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"grad_norm": 0.28769299387931824,
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| 3856 |
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"learning_rate": 6.694731732989593e-05,
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| 3857 |
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"loss": 1.186737632751465,
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| 3858 |
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"mean_token_accuracy": 0.7578480765223503,
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| 3859 |
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"num_tokens": 17897760.0,
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| 3860 |
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"step": 3840
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| 3861 |
}
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| 3862 |
],
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| 3863 |
"logging_steps": 10,
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| 3877 |
"attributes": {}
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}
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},
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| 3880 |
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"total_flos": 8.475827403212698e+16,
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| 3881 |
"train_batch_size": 4,
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| 3882 |
"trial_name": null,
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| 3883 |
"trial_params": null
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