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 3270, 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": 0.7648348346352577,
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"num_tokens": 15164096.0,
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"step": 3260
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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": 7.
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| 3301 |
"train_batch_size": 4,
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| 3302 |
"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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"best_model_checkpoint": null,
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"epoch": 0.6976,
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"eval_steps": 500,
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"global_step": 3270,
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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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| 3278 |
"mean_token_accuracy": 0.7648348346352577,
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| 3279 |
"num_tokens": 15164096.0,
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| 3280 |
"step": 3260
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| 3281 |
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| 3282 |
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{
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| 3283 |
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"entropy": 1.0723001688718796,
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| 3284 |
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"epoch": 0.6976,
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| 3285 |
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"grad_norm": 0.3482857644557953,
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| 3286 |
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"learning_rate": 7.58395418062079e-05,
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| 3287 |
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"loss": 1.147115993499756,
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| 3288 |
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"mean_token_accuracy": 0.7382091999053955,
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| 3289 |
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"num_tokens": 15212178.0,
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| 3290 |
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"step": 3270
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| 3291 |
}
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| 3292 |
],
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| 3293 |
"logging_steps": 10,
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"attributes": {}
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}
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},
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| 3310 |
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"total_flos": 7.204931327304499e+16,
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| 3311 |
"train_batch_size": 4,
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| 3312 |
"trial_name": null,
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| 3313 |
"trial_params": null
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