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 3590, 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": 0.7789977833628654,
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"num_tokens": 16666011.0,
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| 3600 |
"step": 3580
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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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| 3621 |
"train_batch_size": 4,
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"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": 0.7658666666666667,
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"eval_steps": 500,
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"global_step": 3590,
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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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| 3598 |
"mean_token_accuracy": 0.7789977833628654,
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| 3599 |
"num_tokens": 16666011.0,
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| 3600 |
"step": 3580
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| 3601 |
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},
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| 3602 |
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{
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| 3603 |
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"entropy": 0.8767322935163975,
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| 3604 |
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"epoch": 0.7658666666666667,
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| 3605 |
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"grad_norm": 0.30208712816238403,
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| 3606 |
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"learning_rate": 7.094948872618507e-05,
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| 3607 |
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"loss": 1.0047502517700195,
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| 3608 |
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"mean_token_accuracy": 0.7747991606593132,
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| 3609 |
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"num_tokens": 16709398.0,
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| 3610 |
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"step": 3590
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| 3611 |
}
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| 3612 |
],
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| 3613 |
"logging_steps": 10,
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| 3627 |
"attributes": {}
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| 3628 |
}
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| 3629 |
},
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| 3630 |
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"total_flos": 7.918068432112742e+16,
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| 3631 |
"train_batch_size": 4,
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| 3632 |
"trial_name": null,
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| 3633 |
"trial_params": null
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