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Training in progress, step 40

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added_tokens.json ADDED
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axolotl_config.yaml ADDED
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+ base_model: unsloth/SmolLM2-360M-Instruct
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+ batch_size: 32
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+ bf16: true
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+ chat_template: tokenizer_default_fallback_alpaca
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+ datasets:
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+ - format: custom
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+ path: argilla/databricks-dolly-15k-curated-en
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+ type:
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+ field_input: original-instruction
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+ field_instruction: original-instruction
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+ field_output: original-response
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+ format: '{instruction} {input}'
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+ no_input_format: '{instruction}'
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+ system_format: '{system}'
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+ system_prompt: ''
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+ eval_steps: 20
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+ flash_attention: true
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+ gpu_memory_limit: 80GiB
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+ group_by_length: true
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+ hub_model_id: SystemAdmin123/SmolLM2-360M-Instruct
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+ hub_strategy: checkpoint
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+ learning_rate: 0.0002
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+ logging_steps: 10
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+ lr_scheduler: cosine
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+ max_steps: 2500
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+ micro_batch_size: 2
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+ model_type: AutoModelForCausalLM
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+ num_epochs: 100
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+ optimizer: adamw_bnb_8bit
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+ output_dir: /root/.sn56/axolotl/outputs/SmolLM2-360M-Instruct
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+ pad_to_sequence_len: true
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+ resize_token_embeddings_to_32x: false
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+ save_steps: 40
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+ save_total_limit: 1
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+ sequence_len: 2048
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+ tokenizer_type: GPT2TokenizerFast
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+ trust_remote_code: true
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+ val_set_size: 0.1
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+ wandb_entity: ''
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+ wandb_mode: online
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+ wandb_name: unsloth/SmolLM2-360M-Instruct-argilla/databricks-dolly-15k-curated-en
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+ wandb_project: Gradients-On-Demand
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+ wandb_run: your_name
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+ wandb_runid: default
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+ warmup_ratio: 0.05
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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