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Model: tzchen07/SG_X9e Source: Original Platform
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*.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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library_name: transformers
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license: other
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base_model: jxm/shieldgemma-2b
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: sg_x9e
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sg_x9e
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This model is a fine-tuned version of [jxm/shieldgemma-2b](https://huggingface.co/jxm/shieldgemma-2b) on the v1.6, the v1.6b, the v1.6c, the v1.6d and the v1.6e datasets.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.10.0+cu129
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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all_results.json
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 1.28494219771102e+18,
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"train_loss": 0.03900693407858232,
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"train_runtime": 6158.7829,
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"train_samples_per_second": 5.17,
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"train_steps_per_second": 0.081
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}
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chat_template.jinja
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chat_template.jinja
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{%- if not guideline and messages[0].role == "system" %}
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{%- set guideline = messages[0].content %}
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{%- set messages = messages[1:] %}
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{%- endif %}
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{{- bos_token }}
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{%- if messages[-1].role == 'user' %}
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{{- "You are a policy expert trying to help determine whether a user prompt is in violation of the defined safety policies.\n\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Human Question: " + messages[-1].content }}
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{{- "\n<end_of_turn>\n\n" }}
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{{- "Our safety principle is defined in the below:\n\n" }}
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{{- "* " + guideline + "\n" }}
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{{- "\n===\n\n" }}
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{{- "Does the human question violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.\n\n" }}
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{%- else %}
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{{- "You are a policy expert trying to help determine whether an AI response to a prompt is in violation of the defined safety policies.\n\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Human Question: " + messages[-2].content }}
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{{- "\n<end_of_turn>\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Chatbot Response: " + messages[-1].content }}
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{{- "\n<end_of_turn>\n\n" }}
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{{- "Our safety principle is defined in the below:\n\n" }}
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{{- "* " + guideline + "\n" }}
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{{- "\n===\n\n" }}
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{{- "Does the Chatbot Response violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.\n\n" }}
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{%- endif %}
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checkpoint-498/chat_template.jinja
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checkpoint-498/chat_template.jinja
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{%- if not guideline and messages[0].role == "system" %}
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{%- set guideline = messages[0].content %}
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{%- set messages = messages[1:] %}
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{%- endif %}
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{{- bos_token }}
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{%- if messages[-1].role == 'user' %}
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{{- "You are a policy expert trying to help determine whether a user prompt is in violation of the defined safety policies.\n\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Human Question: " + messages[-1].content }}
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{{- "\n<end_of_turn>\n\n" }}
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{{- "Our safety principle is defined in the below:\n\n" }}
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{{- "* " + guideline + "\n" }}
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{{- "\n===\n\n" }}
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{{- "Does the human question violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.\n\n" }}
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{%- else %}
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{{- "You are a policy expert trying to help determine whether an AI response to a prompt is in violation of the defined safety policies.\n\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Human Question: " + messages[-2].content }}
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{{- "\n<end_of_turn>\n" }}
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{{- "<start_of_turn>\n" }}
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{{- "Chatbot Response: " + messages[-1].content }}
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{{- "\n<end_of_turn>\n\n" }}
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{{- "Our safety principle is defined in the below:\n\n" }}
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{{- "* " + guideline + "\n" }}
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{{- "\n===\n\n" }}
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{{- "Does the Chatbot Response violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.\n\n" }}
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{%- endif %}
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checkpoint-498/config.json
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checkpoint-498/config.json
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"model_type": "gemma2",
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"num_attention_heads": 8,
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 224,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"transformers_version": "4.57.1",
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"use_cache": false,
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"vocab_size": 256000
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60
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Reference in New Issue
Block a user