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 3600, 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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@@ -3608,6 +3608,16 @@
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| 3608 |
"mean_token_accuracy": 0.7747991606593132,
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| 3609 |
"num_tokens": 16709398.0,
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| 3610 |
"step": 3590
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| 3611 |
}
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| 3612 |
],
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| 3613 |
"logging_steps": 10,
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"attributes": {}
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| 3628 |
}
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| 3629 |
},
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| 3630 |
-
"total_flos": 7.
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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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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.768,
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"eval_steps": 500,
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| 7 |
+
"global_step": 3600,
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| 8 |
"is_hyper_param_search": false,
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| 9 |
"is_local_process_zero": true,
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| 10 |
"is_world_process_zero": true,
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| 3608 |
"mean_token_accuracy": 0.7747991606593132,
|
| 3609 |
"num_tokens": 16709398.0,
|
| 3610 |
"step": 3590
|
| 3611 |
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},
|
| 3612 |
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{
|
| 3613 |
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"entropy": 0.9047524333000183,
|
| 3614 |
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"epoch": 0.768,
|
| 3615 |
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"grad_norm": 0.23355495929718018,
|
| 3616 |
+
"learning_rate": 7.079221624179623e-05,
|
| 3617 |
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"loss": 0.9877220153808594,
|
| 3618 |
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"mean_token_accuracy": 0.7743734329938888,
|
| 3619 |
+
"num_tokens": 16759830.0,
|
| 3620 |
+
"step": 3600
|
| 3621 |
}
|
| 3622 |
],
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| 3623 |
"logging_steps": 10,
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| 3637 |
"attributes": {}
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| 3638 |
}
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| 3639 |
},
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| 3640 |
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"total_flos": 7.941254167832064e+16,
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| 3641 |
"train_batch_size": 4,
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| 3642 |
"trial_name": null,
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| 3643 |
"trial_params": null
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