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 4030, 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": 0.7677365422248841,
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"num_tokens": 18749563.0,
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"step": 4020
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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": 8.
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| 4061 |
"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_model_checkpoint": null,
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"epoch": 0.8597333333333333,
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"eval_steps": 500,
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"global_step": 4030,
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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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| 4038 |
"mean_token_accuracy": 0.7677365422248841,
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| 4039 |
"num_tokens": 18749563.0,
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| 4040 |
"step": 4020
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| 4041 |
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{
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| 4043 |
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"entropy": 0.9408772967755794,
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| 4044 |
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"epoch": 0.8597333333333333,
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| 4045 |
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"grad_norm": 0.215755894780159,
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| 4046 |
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"learning_rate": 6.381920376318951e-05,
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| 4047 |
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"loss": 1.0272337913513183,
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| 4048 |
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"mean_token_accuracy": 0.7659091472625732,
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| 4049 |
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"num_tokens": 18793365.0,
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| 4050 |
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"step": 4030
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| 4051 |
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| 4052 |
],
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| 4053 |
"logging_steps": 10,
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"attributes": {}
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}
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| 4069 |
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"total_flos": 8.898411948980122e+16,
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| 4071 |
"train_batch_size": 4,
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