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 3920, 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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| 3928 |
"mean_token_accuracy": 0.7563492476940155,
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"num_tokens": 18226039.0,
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| 3930 |
"step": 3910
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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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| 3951 |
"train_batch_size": 4,
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| 3952 |
"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": 0.8362666666666667,
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"eval_steps": 500,
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"global_step": 3920,
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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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| 3928 |
"mean_token_accuracy": 0.7563492476940155,
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| 3929 |
"num_tokens": 18226039.0,
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| 3930 |
"step": 3910
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| 3931 |
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},
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| 3932 |
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{
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| 3933 |
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"entropy": 0.9843406617641449,
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| 3934 |
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"epoch": 0.8362666666666667,
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| 3935 |
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"grad_norm": 0.26783686876296997,
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| 3936 |
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"learning_rate": 6.563837375246463e-05,
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| 3937 |
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"loss": 1.0850018501281737,
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| 3938 |
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"mean_token_accuracy": 0.7563267104327679,
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| 3939 |
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"num_tokens": 18270937.0,
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| 3940 |
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"step": 3920
|
| 3941 |
}
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| 3942 |
],
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| 3943 |
"logging_steps": 10,
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| 3957 |
"attributes": {}
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}
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},
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| 3960 |
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"total_flos": 8.650172816914944e+16,
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| 3961 |
"train_batch_size": 4,
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| 3962 |
"trial_name": null,
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| 3963 |
"trial_params": null
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