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 4290, 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": 0.7762529909610748,
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"num_tokens": 19931094.0,
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"step": 4280
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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": 9.
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| 4321 |
"train_batch_size": 4,
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| 4322 |
"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": 0.9152,
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"eval_steps": 500,
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"global_step": 4290,
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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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| 4298 |
"mean_token_accuracy": 0.7762529909610748,
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| 4299 |
"num_tokens": 19931094.0,
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| 4300 |
"step": 4280
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| 4301 |
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},
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| 4302 |
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{
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| 4303 |
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"entropy": 0.9774221003055572,
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| 4304 |
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"epoch": 0.9152,
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| 4305 |
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"grad_norm": 0.23440679907798767,
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| 4306 |
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"learning_rate": 5.944453723760367e-05,
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| 4307 |
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"loss": 1.0834471702575683,
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| 4308 |
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"mean_token_accuracy": 0.7571895673871041,
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| 4309 |
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"num_tokens": 19976730.0,
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| 4310 |
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"step": 4290
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| 4311 |
}
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| 4312 |
],
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| 4313 |
"logging_steps": 10,
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| 4327 |
"attributes": {}
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}
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| 4329 |
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| 4330 |
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"total_flos": 9.45454427778478e+16,
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| 4331 |
"train_batch_size": 4,
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| 4332 |
"trial_name": null,
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