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 3800, 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": 0.7612074792385102,
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"num_tokens": 17657838.0,
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| 3810 |
"step": 3790
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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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| 3831 |
"train_batch_size": 4,
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| 3832 |
"trial_name": null,
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| 3833 |
"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": 0.8106666666666666,
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"eval_steps": 500,
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"global_step": 3800,
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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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| 3808 |
"mean_token_accuracy": 0.7612074792385102,
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| 3809 |
"num_tokens": 17657838.0,
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| 3810 |
"step": 3790
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| 3811 |
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},
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| 3812 |
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{
|
| 3813 |
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"entropy": 0.9567753560841084,
|
| 3814 |
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"epoch": 0.8106666666666666,
|
| 3815 |
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"grad_norm": 0.2228858321905136,
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| 3816 |
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"learning_rate": 6.759697848007238e-05,
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| 3817 |
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"loss": 1.0671761512756348,
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| 3818 |
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"mean_token_accuracy": 0.7626087903976441,
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| 3819 |
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"num_tokens": 17705375.0,
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| 3820 |
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"step": 3800
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| 3821 |
}
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| 3822 |
],
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| 3823 |
"logging_steps": 10,
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"attributes": {}
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}
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| 3839 |
},
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| 3840 |
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"total_flos": 8.382420285614285e+16,
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| 3841 |
"train_batch_size": 4,
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| 3842 |
"trial_name": null,
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| 3843 |
"trial_params": null
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