cyberandy

/

SEOcrate-4B_grpo_new_01

like 6

PS C:\models\seocrate> python app.py
Loading checkpoint shards: 100%|███████████████████████████████████████| 2/2 [00:02<00:00, 1.25s/it]
Some weights of the model checkpoint at C:\models\seocrate were not used when initializing Gemma3ForCausalLM: ['multi_modal_projector.mm_input_projection_weight', 'multi_modal_projector.mm_soft_emb_norm.weight', 'vision_tower.vision_model.embeddings.patch_embedding.bias', 'vision_tower.vision_model.embeddings.patch_embedding.weight', 'vision_tower.vision_model.embeddings.position_embedding.weight', 'vision_tower.vision_model.encoder.layers.0.layer_norm1.bias', 'vision_tower.vision_model.encoder.layers.0.layer_norm1.weight', 'vision_tower.vision_model.encoder.layers.0.layer_norm2.bias', 'vision_tower.vision_model.encoder.layers.0.layer_norm2.weight', 'vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias', 'vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight', 'vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias', 'vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight', 'vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias', 'vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight', 'vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias', 'vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight', 'vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias', 'vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight', 'vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias', 'vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight', 'vision_tower.vision_model.encoder.layers.1.layer_norm1.bias', 'vision_tower.vision_model.encoder.layers.1.layer_norm1.weight', 'vision_tower.vision_model.encoder.layers.1.layer_norm2.bias', 'vision_tower.vision_model.encoder.layers.1.layer_norm2.weight', 'vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias', 'vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight', 'vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias', 'vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight', 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- This IS expected if you are initializing Gemma3ForCausalLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing Gemma3ForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some parameters are on the meta device because they were offloaded to the cpu.
C:\Users\dejan\AppData\Local\Programs\Python\Python312\Lib\site-packages\transformers\generation\configuration_utils.py:628: UserWarning: do_sample is set to False. However, temperature is set to 0.1 -- this flag is only used in sample-based generation modes. You should set do_sample=True or unset temperature. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.
warnings.warn(
C:\Users\dejan\AppData\Local\Programs\Python\Python312\Lib\site-packages\transformers\generation\configuration_utils.py:633: UserWarning: do_sample is set to False. However, top_p is set to 0.9 -- this flag is only used in sample-based generation modes. You should set do_sample=True or unset top_p. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.
warnings.warn(
Prompt: Suggest an appropriate schema.org type for a webpage that lists local business hours, address, and phone number.

Model Output:
generation_config default values have been modified to match model-specific defaults: {'cache_implementation': 'hybrid', 'bos_token_id': 2}. If this is not desired, please set these values explicitly.
C:\Users\dejan\AppData\Local\Programs\Python\Python312\Lib\site-packages\transformers\generation\configuration_utils.py:628: UserWarning: do_sample is set to False. However, temperature is set to 0.1 -- this flag is only used in sample-based generation modes. You should set do_sample=True or unset temperature.
warnings.warn(
C:\Users\dejan\AppData\Local\Programs\Python\Python312\Lib\site-packages\transformers\generation\configuration_utils.py:633: UserWarning: do_sample is set to False. However, top_p is set to 0.9 -- this flag is only used in sample-based generation modes. You should set do_sample=True or unset top_p.
warnings.warn(

PS C:\models\seocrate>