Instructions to use Jlonge4/rouge-1-metric-wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jlonge4/rouge-1-metric-wd with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jlonge4/rouge-1-metric-wd", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Jlonge4/phi-4-mini-guard
Browse files- README.md +2 -2
- adapter_config.json +5 -3
- adapter_model.safetensors +1 -1
- chat_template.jinja +1 -0
- runs/Jun07_18-39-45_af7edff27e55/events.out.tfevents.1749321586.af7edff27e55.1551.0 +3 -0
- runs/Jun07_18-41-09_af7edff27e55/events.out.tfevents.1749321670.af7edff27e55.1551.1 +3 -0
- runs/Jun07_18-41-58_af7edff27e55/events.out.tfevents.1749321719.af7edff27e55.1551.2 +3 -0
- runs/Jun07_18-43-47_af7edff27e55/events.out.tfevents.1749321828.af7edff27e55.1551.3 +3 -0
- tokenizer_config.json +0 -1
- training_args.bin +1 -1
README.md
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### Framework versions
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- TRL: 0.12.0
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- Transformers: 4.
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- Pytorch: 2.6.0+cu124
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- Datasets: 3.
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- Tokenizers: 0.21.1
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## Citations
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### Framework versions
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- TRL: 0.12.0
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- Transformers: 4.52.4
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- Pytorch: 2.6.0+cu124
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- Datasets: 3.6.0
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- Tokenizers: 0.21.1
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## Citations
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adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/Phi-4-mini-instruct",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"revision": null,
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"target_modules": [
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"k_proj",
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"
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"q_proj",
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": true
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}
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/Phi-4-mini-instruct",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"q_proj",
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"o_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": true
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}
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adapter_model.safetensors
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size 12591456
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chat_template.jinja
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{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% else %}{{ eos_token }}{% endif %}
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runs/Jun07_18-39-45_af7edff27e55/events.out.tfevents.1749321586.af7edff27e55.1551.0
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size 31497
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runs/Jun07_18-41-09_af7edff27e55/events.out.tfevents.1749321670.af7edff27e55.1551.1
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runs/Jun07_18-41-58_af7edff27e55/events.out.tfevents.1749321719.af7edff27e55.1551.2
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runs/Jun07_18-43-47_af7edff27e55/events.out.tfevents.1749321828.af7edff27e55.1551.3
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version https://git-lfs.github.com/spec/v1
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size 32997
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tokenizer_config.json
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}
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},
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"bos_token": "<|endoftext|>",
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"chat_template": "{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% else %}{{ eos_token }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": {},
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}
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},
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": {},
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training_args.bin
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