Spaces:
Build error
Build error
prep for tuning with P2
Browse files
.gitattributes
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@@ -49,3 +49,6 @@ results/mgtv-results_nv4080_r2.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4_r2.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4_r3.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4_r2.csv filter=lfs diff=lfs merge=lfs -text
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results/mgtv-results_t4_r3.csv filter=lfs diff=lfs merge=lfs -text
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llama-factory/data/alpaca_mac.json filter=lfs diff=lfs merge=lfs -text
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llama-factory/data/alpaca_mgtv_p2.json filter=lfs diff=lfs merge=lfs -text
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llama-factory/data/dataset_info.json filter=lfs diff=lfs merge=lfs -text
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competition/08c_InterLM_finetuning_NV4080_p2.ipynb
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llama-factory/config/internlm2_5_7b_lora_sft_4bit_p2.yaml
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### model
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model_name_or_path: internlm/internlm2_5-7b-chat-1m
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### method
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stage: sft
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do_train: true
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finetuning_type: lora
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lora_target: all
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quantization_bit: 4 # use 4-bit QLoRA
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loraplus_lr_ratio: 16.0 # use LoRA+ with lambda=16.0
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# use_unsloth: true # use UnslothAI's LoRA optimization for 2x faster training
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upcast_layernorm: true
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### dataset
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dataset: alpaca_mgtv_p2
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template: chatml
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cutoff_len: 1024
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max_samples: 5000
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/internlm2_5_7b/lora/sft_p2
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logging_steps: 100
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save_steps: 562
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plot_loss: true
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overwrite_output_dir: true
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# resume_from_checkpoint: true
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### train
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per_device_train_batch_size: 1
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gradient_accumulation_steps: 8
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learning_rate: 1.0e-4
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num_train_epochs: 6.0
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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bf16: true
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ddp_timeout: 180000000
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### eval
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val_size: 0.1
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per_device_eval_batch_size: 1
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eval_strategy: steps
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eval_steps: 562
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report_to: none
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run_name: internlm2_5_7b # optional
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llama-factory/data/alpaca_mac.json
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llama-factory/data/alpaca_mgtv_p2.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:12360f3fa7e5b62de84fd7b7bb8153abd35932a754e310414663c229499b57e6
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size 94426969
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llama-factory/data/dataset_info.json
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},
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"alpaca_mgtv_p1": {
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"file_name": "alpaca_mgtv_p1.json"
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},
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"alpaca_mac": {
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"file_name": "alpaca_mac.json"
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},
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"identity": {
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"file_name": "identity.json"
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},
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"alpaca_en_demo": {
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"file_name": "alpaca_en_demo.json"
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},
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"alpaca_zh_demo": {
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"file_name": "alpaca_zh_demo.json"
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},
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"glaive_toolcall_en_demo": {
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"file_name": "glaive_toolcall_en_demo.json",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversations",
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"tools": "tools"
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}
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},
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"glaive_toolcall_zh_demo": {
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"file_name": "glaive_toolcall_zh_demo.json",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversations",
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"tools": "tools"
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}
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},
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"mllm_demo": {
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"file_name": "mllm_demo.json",
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"formatting": "sharegpt",
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"columns": {
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"messages": "messages",
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"images": "images"
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},
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"tags": {
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"role_tag": "role",
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"content_tag": "content",
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"user_tag": "user",
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"assistant_tag": "assistant"
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}
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},
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"alpaca_en": {
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"hf_hub_url": "llamafactory/alpaca_en",
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"ms_hub_url": "llamafactory/alpaca_en"
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},
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"alpaca_zh": {
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"hf_hub_url": "llamafactory/alpaca_zh",
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"ms_hub_url": "llamafactory/alpaca_zh"
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},
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"alpaca_gpt4_en": {
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"hf_hub_url": "llamafactory/alpaca_gpt4_en",
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"ms_hub_url": "llamafactory/alpaca_gpt4_en"
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},
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"alpaca_gpt4_zh": {
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"hf_hub_url": "llamafactory/alpaca_gpt4_zh",
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"ms_hub_url": "llamafactory/alpaca_gpt4_zh"
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},
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"glaive_toolcall_en": {
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"hf_hub_url": "llamafactory/glaive_toolcall_en",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversations",
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"tools": "tools"
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}
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},
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"glaive_toolcall_zh": {
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"hf_hub_url": "llamafactory/glaive_toolcall_zh",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversations",
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"tools": "tools"
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}
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},
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"lima": {
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"hf_hub_url": "llamafactory/lima",
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"formatting": "sharegpt"
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},
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"guanaco": {
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"hf_hub_url": "JosephusCheung/GuanacoDataset",
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"ms_hub_url": "AI-ModelScope/GuanacoDataset"
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},
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"belle_2m": {
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"hf_hub_url": "BelleGroup/train_2M_CN",
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"ms_hub_url": "AI-ModelScope/train_2M_CN"
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},
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"belle_1m": {
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"hf_hub_url": "BelleGroup/train_1M_CN",
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"ms_hub_url": "AI-ModelScope/train_1M_CN"
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},
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"belle_0.5m": {
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"hf_hub_url": "BelleGroup/train_0.5M_CN",
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"ms_hub_url": "AI-ModelScope/train_0.5M_CN"
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},
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"belle_dialog": {
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"hf_hub_url": "BelleGroup/generated_chat_0.4M",
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"ms_hub_url": "AI-ModelScope/generated_chat_0.4M"
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},
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"belle_math": {
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"hf_hub_url": "BelleGroup/school_math_0.25M",
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"ms_hub_url": "AI-ModelScope/school_math_0.25M"
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},
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"belle_multiturn": {
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"script_url": "belle_multiturn",
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"formatting": "sharegpt"
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},
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"ultra_chat": {
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"script_url": "ultra_chat",
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"formatting": "sharegpt"
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},
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"open_platypus": {
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"hf_hub_url": "garage-bAInd/Open-Platypus",
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"ms_hub_url": "AI-ModelScope/Open-Platypus"
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},
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"codealpaca": {
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"hf_hub_url": "sahil2801/CodeAlpaca-20k",
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"ms_hub_url": "AI-ModelScope/CodeAlpaca-20k"
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},
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"alpaca_cot": {
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"hf_hub_url": "QingyiSi/Alpaca-CoT",
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"ms_hub_url": "AI-ModelScope/Alpaca-CoT"
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},
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"openorca": {
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"hf_hub_url": "Open-Orca/OpenOrca",
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"ms_hub_url": "AI-ModelScope/OpenOrca",
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"columns": {
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"prompt": "question",
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"response": "response",
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"system": "system_prompt"
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}
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},
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"slimorca": {
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"hf_hub_url": "Open-Orca/SlimOrca",
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"formatting": "sharegpt"
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},
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"mathinstruct": {
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"hf_hub_url": "TIGER-Lab/MathInstruct",
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"ms_hub_url": "AI-ModelScope/MathInstruct",
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"columns": {
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"prompt": "instruction",
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"response": "output"
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}
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},
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"firefly": {
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"hf_hub_url": "YeungNLP/firefly-train-1.1M",
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"columns": {
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"prompt": "input",
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"response": "target"
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}
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},
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"wikiqa": {
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"hf_hub_url": "wiki_qa",
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"columns": {
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"prompt": "question",
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"response": "answer"
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}
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},
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"webqa": {
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"hf_hub_url": "suolyer/webqa",
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"ms_hub_url": "AI-ModelScope/webqa",
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"columns": {
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"prompt": "input",
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"response": "output"
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}
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},
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"webnovel": {
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"hf_hub_url": "zxbsmk/webnovel_cn",
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"ms_hub_url": "AI-ModelScope/webnovel_cn"
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},
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"nectar_sft": {
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"hf_hub_url": "AstraMindAI/SFT-Nectar",
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"ms_hub_url": "AI-ModelScope/SFT-Nectar"
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},
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"deepctrl": {
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"ms_hub_url": "deepctrl/deepctrl-sft-data"
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},
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"adgen": {
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"hf_hub_url": "HasturOfficial/adgen",
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"ms_hub_url": "AI-ModelScope/adgen",
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"columns": {
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"prompt": "content",
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"response": "summary"
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}
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},
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"sharegpt_hyper": {
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"hf_hub_url": "totally-not-an-llm/sharegpt-hyperfiltered-3k",
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"formatting": "sharegpt"
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},
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"sharegpt4": {
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"hf_hub_url": "shibing624/sharegpt_gpt4",
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"ms_hub_url": "AI-ModelScope/sharegpt_gpt4",
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"formatting": "sharegpt"
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},
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"ultrachat_200k": {
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"hf_hub_url": "HuggingFaceH4/ultrachat_200k",
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"ms_hub_url": "AI-ModelScope/ultrachat_200k",
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"formatting": "sharegpt",
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"columns": {
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"messages": "messages"
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},
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"tags": {
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"role_tag": "role",
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"content_tag": "content",
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"user_tag": "user",
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"assistant_tag": "assistant"
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}
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},
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"agent_instruct": {
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"hf_hub_url": "THUDM/AgentInstruct",
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"ms_hub_url": "ZhipuAI/AgentInstruct",
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"formatting": "sharegpt"
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},
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"lmsys_chat": {
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"hf_hub_url": "lmsys/lmsys-chat-1m",
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"ms_hub_url": "AI-ModelScope/lmsys-chat-1m",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversation"
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},
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"tags": {
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"role_tag": "role",
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"content_tag": "content",
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"user_tag": "human",
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"assistant_tag": "assistant"
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}
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},
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"evol_instruct": {
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"hf_hub_url": "WizardLM/WizardLM_evol_instruct_V2_196k",
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"ms_hub_url": "AI-ModelScope/WizardLM_evol_instruct_V2_196k",
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"formatting": "sharegpt"
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},
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"glaive_toolcall_100k": {
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"hf_hub_url": "hiyouga/glaive-function-calling-v2-sharegpt",
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"formatting": "sharegpt",
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"columns": {
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"messages": "conversations",
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"tools": "tools"
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}
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},
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"cosmopedia": {
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"hf_hub_url": "HuggingFaceTB/cosmopedia",
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"columns": {
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"prompt": "prompt",
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"response": "text"
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}
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},
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"stem_zh": {
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"hf_hub_url": "hfl/stem_zh_instruction"
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},
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"ruozhiba_gpt4": {
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"hf_hub_url": "hfl/ruozhiba_gpt4_turbo"
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},
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"neo_sft": {
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"hf_hub_url": "m-a-p/neo_sft_phase2",
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"formatting": "sharegpt"
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},
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"magpie_pro_300k": {
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"hf_hub_url": "Magpie-Align/Magpie-Pro-300K-Filtered",
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"formatting": "sharegpt"
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},
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"web_instruct": {
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"hf_hub_url": "TIGER-Lab/WebInstructSub",
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"columns": {
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"prompt": "question",
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"response": "answer"
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}
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},
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"llava_1k_en": {
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"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
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"subset": "en",
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"formatting": "sharegpt",
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"columns": {
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"messages": "messages",
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"images": "images"
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},
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"tags": {
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"role_tag": "role",
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"content_tag": "content",
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"user_tag": "user",
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"assistant_tag": "assistant"
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}
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},
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"llava_1k_zh": {
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"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
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"subset": "zh",
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"formatting": "sharegpt",
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"columns": {
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"messages": "messages",
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"images": "images"
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},
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"tags": {
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"role_tag": "role",
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