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 3720, 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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| 3728 |
"mean_token_accuracy": 0.7794149458408356,
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"num_tokens": 17280617.0,
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"step": 3710
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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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| 3751 |
"train_batch_size": 4,
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| 3752 |
"trial_name": null,
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| 3753 |
"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": 0.7936,
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"eval_steps": 500,
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| 7 |
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"global_step": 3720,
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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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| 3728 |
"mean_token_accuracy": 0.7794149458408356,
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| 3729 |
"num_tokens": 17280617.0,
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| 3730 |
"step": 3710
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| 3731 |
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},
|
| 3732 |
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{
|
| 3733 |
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"entropy": 0.8956944331526756,
|
| 3734 |
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"epoch": 0.7936,
|
| 3735 |
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"grad_norm": 0.23321297764778137,
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| 3736 |
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"learning_rate": 6.888605682456746e-05,
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| 3737 |
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"loss": 1.0033020973205566,
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| 3738 |
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"mean_token_accuracy": 0.7758402660489082,
|
| 3739 |
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"num_tokens": 17326396.0,
|
| 3740 |
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"step": 3720
|
| 3741 |
}
|
| 3742 |
],
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| 3743 |
"logging_steps": 10,
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| 3757 |
"attributes": {}
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| 3758 |
}
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| 3759 |
},
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| 3760 |
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"total_flos": 8.202966944748749e+16,
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| 3761 |
"train_batch_size": 4,
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| 3762 |
"trial_name": null,
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| 3763 |
"trial_params": null
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