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  1. .gitattributes +1 -0
  2. .ipynb_checkpoints/conf-checkpoint.yml +80 -0
  3. 2025-01_conversations_2024_2.jsonl +3 -0
  4. conf.yml +80 -0
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.gitattributes CHANGED
@@ -38,3 +38,4 @@ checkpoint-2727/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  checkpoint-3636/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  checkpoint-909/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  checkpoint-3636/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  checkpoint-909/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ 2025-01_conversations_2024_2.jsonl filter=lfs diff=lfs merge=lfs -text
.ipynb_checkpoints/conf-checkpoint.yml ADDED
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+ base_model: ./meta-llama_Llama-3.1-8B
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+ # optionally might have model_type or tokenizer_type
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: AutoTokenizer
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+ # Automatically upload checkpoint and final model to HF
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+ # hub_model_id: username/custom_model_name
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: 2025-01_conversations_2024_2.jsonl
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+ type: chat_template
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+ chat_template: tokenizer_default
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+ field_messages: conversations
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+ message_field_role: from
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+ message_field_content: value
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+ roles:
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+ <|autheur|>:
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+ - human
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+ <|khey|>:
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+ - gpt
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+ <|sujet|>:
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+ - system
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+ dataset_prepared_path:
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+ val_set_size: 0.05
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+ output_dir: ./outputs/
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+ dataset_prepared_path: last_run_prepared
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+
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+ sequence_len: 8192
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ wandb_project: JVCGPT Medium 8b v2
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+ wandb_entity:
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+ wandb_name:
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+ wandb_log_model:
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+ gradient_accumulation_steps: 1
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+ num_epochs: 2
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 1e-5
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+ train_on_inputs: true
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+ save_safetensors: true
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+ resume_from_checkpoint: ./outputs/checkpoint-9999
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+ # If resume_from_checkpoint isn't set and you simply want it to start where it left off.
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+ # Be careful with this being turned on between different models.
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+ # optionally might have model_type or tokenizer_type
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: AutoTokenizer
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+ # Automatically upload checkpoint and final model to HF
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+ # hub_model_id: username/custom_model_name
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+ # If resume_from_checkpoint isn't set and you simply want it to start where it left off.
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