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 4040, 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": 0.7659091472625732,
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"num_tokens": 18793365.0,
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"step": 4030
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}
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],
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| 4053 |
"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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| 4071 |
"train_batch_size": 4,
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| 4072 |
"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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"epoch": 0.8618666666666667,
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"eval_steps": 500,
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"global_step": 4040,
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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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| 4048 |
"mean_token_accuracy": 0.7659091472625732,
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| 4049 |
"num_tokens": 18793365.0,
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| 4050 |
"step": 4030
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| 4051 |
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| 4052 |
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{
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| 4053 |
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"entropy": 0.9391368016600609,
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| 4054 |
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"epoch": 0.8618666666666667,
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| 4055 |
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"grad_norm": 0.22395288944244385,
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| 4056 |
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"learning_rate": 6.365279148091182e-05,
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| 4057 |
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"loss": 1.0316532135009766,
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| 4058 |
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"mean_token_accuracy": 0.7643599301576615,
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| 4059 |
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"num_tokens": 18843087.0,
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| 4060 |
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"step": 4040
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| 4061 |
}
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],
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| 4063 |
"logging_steps": 10,
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| 4077 |
"attributes": {}
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}
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| 4079 |
},
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| 4080 |
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"total_flos": 8.921480530406707e+16,
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| 4081 |
"train_batch_size": 4,
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"trial_name": null,
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