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 4060, 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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@@ -4068,6 +4068,16 @@
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| 4068 |
"mean_token_accuracy": 0.7608293548226357,
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| 4069 |
"num_tokens": 18891900.0,
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| 4070 |
"step": 4050
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| 4071 |
}
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],
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| 4073 |
"logging_steps": 10,
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"attributes": {}
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}
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| 4089 |
},
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| 4090 |
-
"total_flos": 8.
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| 4091 |
"train_batch_size": 4,
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| 4092 |
"trial_name": null,
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| 4093 |
"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": 0.8661333333333333,
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"eval_steps": 500,
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| 7 |
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"global_step": 4060,
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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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| 4068 |
"mean_token_accuracy": 0.7608293548226357,
|
| 4069 |
"num_tokens": 18891900.0,
|
| 4070 |
"step": 4050
|
| 4071 |
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},
|
| 4072 |
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{
|
| 4073 |
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"entropy": 0.9185742639005184,
|
| 4074 |
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"epoch": 0.8661333333333333,
|
| 4075 |
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"grad_norm": 0.2510085701942444,
|
| 4076 |
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"learning_rate": 6.331947817038367e-05,
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| 4077 |
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"loss": 0.9962324142456055,
|
| 4078 |
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"mean_token_accuracy": 0.7723157353699207,
|
| 4079 |
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"num_tokens": 18938986.0,
|
| 4080 |
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"step": 4060
|
| 4081 |
}
|
| 4082 |
],
|
| 4083 |
"logging_steps": 10,
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| 4097 |
"attributes": {}
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| 4098 |
}
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| 4099 |
},
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| 4100 |
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"total_flos": 8.96706706808402e+16,
|
| 4101 |
"train_batch_size": 4,
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| 4102 |
"trial_name": null,
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| 4103 |
"trial_params": null
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