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 4170, 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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| 4178 |
"mean_token_accuracy": 0.7473259434103966,
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"num_tokens": 19389016.0,
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| 4180 |
"step": 4160
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}
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],
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| 4183 |
"logging_steps": 10,
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"attributes": {}
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}
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},
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"total_flos": 9.
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| 4201 |
"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": 0.8896,
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"eval_steps": 500,
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"global_step": 4170,
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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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| 4178 |
"mean_token_accuracy": 0.7473259434103966,
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| 4179 |
"num_tokens": 19389016.0,
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| 4180 |
"step": 4160
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| 4181 |
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},
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| 4182 |
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{
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| 4183 |
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"entropy": 0.913795480877161,
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| 4184 |
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"epoch": 0.8896,
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| 4185 |
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"grad_norm": 0.27178287506103516,
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| 4186 |
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"learning_rate": 6.147527434696606e-05,
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| 4187 |
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"loss": 0.976069450378418,
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| 4188 |
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"mean_token_accuracy": 0.7722298249602317,
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| 4189 |
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"num_tokens": 19431392.0,
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| 4190 |
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"step": 4170
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| 4191 |
}
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| 4192 |
],
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| 4193 |
"logging_steps": 10,
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| 4207 |
"attributes": {}
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| 4208 |
}
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| 4209 |
},
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| 4210 |
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"total_flos": 9.1941886882901e+16,
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| 4211 |
"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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