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 3820, 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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| 3828 |
"mean_token_accuracy": 0.7413103066384792,
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"num_tokens": 17751890.0,
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"step": 3810
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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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| 3851 |
"train_batch_size": 4,
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| 3852 |
"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": 0.8149333333333333,
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"eval_steps": 500,
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"global_step": 3820,
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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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| 3828 |
"mean_token_accuracy": 0.7413103066384792,
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| 3829 |
"num_tokens": 17751890.0,
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| 3830 |
"step": 3810
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| 3831 |
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},
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| 3832 |
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{
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| 3833 |
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"entropy": 0.9753526367247105,
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| 3834 |
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"epoch": 0.8149333333333333,
|
| 3835 |
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"grad_norm": 0.32060110569000244,
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| 3836 |
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"learning_rate": 6.72725618053283e-05,
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| 3837 |
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"loss": 1.051304244995117,
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| 3838 |
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"mean_token_accuracy": 0.7579805940389633,
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| 3839 |
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"num_tokens": 17796312.0,
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| 3840 |
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"step": 3820
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| 3841 |
}
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| 3842 |
],
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| 3843 |
"logging_steps": 10,
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"attributes": {}
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}
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| 3859 |
},
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| 3860 |
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"total_flos": 8.427403028090573e+16,
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| 3861 |
"train_batch_size": 4,
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| 3862 |
"trial_name": null,
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| 3863 |
"trial_params": null
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