willtensora
commited on
Training in progress, step 360
Browse files
284c3982-7bc3-4e42-a78c-849f03798c5f.yml
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base_model: unsloth/Qwen2-7B-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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- data_files:
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- 3e306f9221b79797_train_data.json
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ds_type: json
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format: custom
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path: /workspace/input_data/3e306f9221b79797_train_data.json
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type:
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field_input: dialogue
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field_instruction: rendered_input
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field_output: summary
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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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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: willtensora/f3c9c6cc-5806-45b4-aab9-d03de6022b3a
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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: 4
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model_type: AutoModelForCausalLM
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optimizer: adamw_bnb_8bit
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output_dir: /workspace/axolotl/configs
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pad_to_sequence_len: true
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resize_token_embeddings_to_32x: false
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sample_packing: 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: Qwen2TokenizerFast
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train_on_inputs: false
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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/Qwen2-7B-Instruct-/workspace/input_data/3e306f9221b79797_train_data.json
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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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xformers_attention: true
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 988097824
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a5e585476bd5cc6203124e4cba581a60d5b891d3f5443648d4f675341248b47
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size 988097824
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