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 1260, 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": 0.7673991709947586,
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"num_tokens": 5817721.0,
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| 1270 |
"step": 1250
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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": 2.
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| 1291 |
"train_batch_size": 4,
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| 1292 |
"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": 0.2688,
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"eval_steps": 500,
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"global_step": 1260,
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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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| 1268 |
"mean_token_accuracy": 0.7673991709947586,
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| 1269 |
"num_tokens": 5817721.0,
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| 1270 |
"step": 1250
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| 1271 |
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| 1272 |
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{
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| 1273 |
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"entropy": 1.0725971311330795,
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| 1274 |
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"epoch": 0.2688,
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| 1275 |
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"grad_norm": 0.25890064239501953,
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| 1276 |
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"learning_rate": 9.727041663220989e-05,
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| 1277 |
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"loss": 1.2022390365600586,
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| 1278 |
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"mean_token_accuracy": 0.7427652187645435,
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| 1279 |
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"num_tokens": 5864952.0,
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| 1280 |
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"step": 1260
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| 1281 |
}
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],
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| 1283 |
"logging_steps": 10,
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"attributes": {}
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}
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"total_flos": 2.780468790033715e+16,
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"train_batch_size": 4,
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"trial_name": null,
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