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--- |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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--- |
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# opus-samantha-phi-3-4k |
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Axolotl Config |
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```yaml |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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trust_remote_code: True |
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load_in_8bit: true |
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load_in_4bit: false |
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strict: false |
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sequence_len: 4096 |
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bf16: auto |
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fp16: |
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tf32: false |
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flash_attention: true |
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# Data |
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datasets: |
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- path: macadeliccc/opus_samantha |
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type: sharegpt |
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conversation: chatml |
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# Iterations |
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num_epochs: 3 |
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# Evaluation |
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val_set_size: 0.05 |
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evals_per_epoch: 5 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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eval_sample_packing: false |
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eval_batch_size: 1 |
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# LoRA |
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output_dir: ./lora-out |
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adapter: lora |
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lora_model_dir: |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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# Sampling |
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sample_packing: false |
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pad_to_sequence_len: false |
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# Batching |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 4 |
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gradient_checkpointing: true |
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# wandb |
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wandb_project: |
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# Optimizer |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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# Misc |
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train_on_inputs: false |
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group_by_length: false |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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debug: |
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deepspeed: |
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weight_decay: 0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |
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tokens: # these are delimiters |
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- "<|im_start|>" |
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- "<|im_end|>" |
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``` |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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