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 4690, 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":
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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": 0.7623668745160103,
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"num_tokens": 21747104.0,
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"step": 4680
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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": 1.
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"train_batch_size": 4,
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"trial_name": null,
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"best_global_step": null,
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"epoch": 1.0004266666666666,
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"global_step": 4690,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 4698 |
"mean_token_accuracy": 0.7623668745160103,
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| 4699 |
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"step": 4680
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{
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"entropy": 0.9629100082736266,
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| 4704 |
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"epoch": 1.0004266666666666,
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| 4705 |
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"grad_norm": 0.3171702027320862,
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| 4706 |
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"learning_rate": 5.257762124860431e-05,
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| 4707 |
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"loss": 1.0939340591430664,
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| 4708 |
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"mean_token_accuracy": 0.7673146160025346,
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| 4709 |
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"num_tokens": 21789348.0,
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| 4710 |
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"step": 4690
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| 4711 |
}
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| 4712 |
],
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"logging_steps": 10,
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"attributes": {}
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}
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"total_flos": 1.0316783650958131e+17,
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"train_batch_size": 4,
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"trial_name": null,
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