commit 1st epoch(0.96) of training with wizardlm data
Browse files- README.md +3 -2
- configs/axolotl/wizard-vicuna-13b-step2.yml +78 -0
- configs/ds_config-step2.json +58 -0
- pytorch_model.bin +1 -1
README.md
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@@ -14,7 +14,8 @@ pipeline_tag: text-generation
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- `vicgalle/alpaca-gpt4` 1 epoch, learning rate 3e-5 https://wandb.ai/wing-lian/wizard-vicuna-gpt4/overview
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- `deepspeed scripts/finetune.py configs/axolotl/wizard-vicuna-13b-step1.yml --deepspeed configs/ds_config.json --num_epochs 2 --warmup_steps 46 --logging_steps 1 --save_steps 23`
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- `wizardlm`
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- `vicuna` TBD
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<pre>Brought to you by the Freedom AI Collective</pre>
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- `vicgalle/alpaca-gpt4` 1 epoch, learning rate 3e-5 https://wandb.ai/wing-lian/wizard-vicuna-gpt4/overview
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- `deepspeed scripts/finetune.py configs/axolotl/wizard-vicuna-13b-step1.yml --deepspeed configs/ds_config.json --num_epochs 2 --warmup_steps 46 --logging_steps 1 --save_steps 23`
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- `wizardlm` https://wandb.ai/wing-lian/wizard-vicuna-gpt4/runs/4y38knw4
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- `deepspeed scripts/finetune.py configs/axolotl/wizard-vicuna-13b-step2.yml --deepspeed configs/ds_config-step2.json --num_epochs 2 --logging_steps 1`
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- `vicuna` TBD
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<pre>Brought to you by the Freedom AI Collective</pre>
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configs/axolotl/wizard-vicuna-13b-step2.yml
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# base_model: huggyllama/llama-13b
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# base_model_config: huggyllama/llama-13b
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base_model: /workspace/llama-13b-alpaca-wizard-vicuna/
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base_model_config: huggyllama/llama-13b
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: false
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datasets:
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# - path: vicgalle/alpaca-gpt4
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# type: alpaca
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# - path: anon8231489123/ShareGPT_Vicuna_unfiltered
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# data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
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# type: sharegpt
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- path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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type: alpaca
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dataset_prepared_path: data/last_run_prepared
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val_set_size: 0.04
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adapter:
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lora_model_dir:
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sequence_len: 2048
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max_packed_sequence_len: 2048
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules:
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- q_proj
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- v_proj
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# - k_proj
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# - o_proj
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lora_fan_in_fan_out: false
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wandb_project:
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wandb_watch:
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wandb_run_id:
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wandb_log_model: checkpoint
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output_dir: ./wizard-lm-out
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batch_size: 128
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micro_batch_size: 1
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num_epochs: 2
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warmup_steps: 117
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logging_steps:
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learning_rate: 0.000003
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optimizer: adamw_torch
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torchdistx_path:
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lr_scheduler: one_cycle
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log_sweep_min_lr: 2e-6
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log_sweep_max_lr: 1e-4
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train_on_inputs: false
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group_by_length: false
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bf16: true
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tf32: true
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gradient_checkpointing:
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early_stopping_patience:
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resume_from_checkpoint:
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auto_resume_from_checkpoints:
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local_rank:
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load_4bit:
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xformers_attention:
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flash_attention: true
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gptq_groupsize:
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gptq_model_v1:
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save_steps: 56
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eval_steps: 14
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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fsdp_transformer_layer_cls_to_wrap:
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fsdp_min_num_params: 2000
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fsdp_backward_prefetch:
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- backward_pre
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limit_all_gathers: false
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special_tokens:
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pad_token: "[PAD]"
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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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configs/ds_config-step2.json
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{
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"zero_optimization": {
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"stage": 3,
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"offload_optimizer": {
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"device": "cpu",
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"pin_memory": true
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},
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"offload_param": {
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"device": "cpu",
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"pin_memory": true
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},
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"overlap_comm": true,
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"contiguous_gradients": true,
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"sub_group_size": 0,
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"reduce_bucket_size": "auto",
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"stage3_prefetch_bucket_size": "auto",
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"stage3_param_persistence_threshold": "auto",
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"stage3_max_live_parameters": 0,
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"stage3_max_reuse_distance": 0,
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"stage3_gather_16bit_weights_on_model_save": true
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},
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"bf16": {
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"enabled": "auto"
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},
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"fp16": {
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"enabled": "auto",
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"auto_cast": false,
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"loss_scale": 0,
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"initial_scale_power": 32,
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"loss_scale_window": 1000,
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"hysteresis": 2,
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"min_loss_scale": 1
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},
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"optimizer": {
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"type": "AdamW",
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"params": {
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"lr": "auto",
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"betas": [
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0.9,
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0.999
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],
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"eps": 1e-8,
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"weight_decay": 0
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}
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},
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"scheduler": {
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"type": "OneCycle",
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"params": {
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"cycle_min_lr": 0.0000003,
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"cycle_max_lr": 0.000003,
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"cycle_first_step_size": 117
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}
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},
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"train_batch_size": "auto",
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"train_micro_batch_size_per_gpu": "auto",
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"wall_clock_breakdown": false
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 26031868013
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a0347a171523a89c7faa94c48cdc17284a8dedeb2505c0b1bc4bf7189e33b26
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size 26031868013
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