Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-16/README.md +34 -0
- checkpoint-16/adapter_config.json +21 -0
- checkpoint-16/adapter_model.bin +3 -0
- checkpoint-16/optimizer.pt +3 -0
- checkpoint-16/rng_state.pth +3 -0
- checkpoint-16/scheduler.pt +3 -0
- checkpoint-16/special_tokens_map.json +24 -0
- checkpoint-16/tokenizer.json +0 -0
- checkpoint-16/tokenizer.model +3 -0
- checkpoint-16/tokenizer_config.json +34 -0
- checkpoint-16/trainer_state.json +31 -0
- checkpoint-16/training_args.bin +3 -0
- runs/Sep08_22-04-14_a3014d455404/events.out.tfevents.1694210654.a3014d455404.12217.0 +3 -0
- runs/Sep08_22-05-56_a3014d455404/events.out.tfevents.1694210756.a3014d455404.12867.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +34 -0
- training_args.bin +3 -0
- training_params.json +1 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4920d36586ecb36deaa7faaed529573521ebfa980d65e761f9cc43277b523605
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size 33600461
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checkpoint-16/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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checkpoint-16/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-16/adapter_model.bin
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size 33600461
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checkpoint-16/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-16/rng_state.pth
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checkpoint-16/scheduler.pt
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checkpoint-16/special_tokens_map.json
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checkpoint-16/tokenizer.json
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checkpoint-16/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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checkpoint-16/tokenizer_config.json
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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}
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checkpoint-16/trainer_state.json
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"is_world_process_zero": true,
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"log_history": [
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"step": 12
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],
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"logging_steps": 6,
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"max_steps": 544,
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"num_train_epochs": 16,
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}
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checkpoint-16/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:270006c8888956e5d1a09fff7ed4773689d7da70e41d23b865757d8ddfbf9ae9
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size 4027
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runs/Sep08_22-04-14_a3014d455404/events.out.tfevents.1694210654.a3014d455404.12217.0
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runs/Sep08_22-05-56_a3014d455404/events.out.tfevents.1694210756.a3014d455404.12867.0
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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tokenizer_config.json
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},
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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},
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"use_default_system_prompt": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:270006c8888956e5d1a09fff7ed4773689d7da70e41d23b865757d8ddfbf9ae9
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size 4027
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training_params.json
ADDED
@@ -0,0 +1 @@
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1 |
+
{"model": "meta-llama/Llama-2-7b-chat-hf", "data_path": "strumber/letsModDataSet", "project_name": "letsModLLama11", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0002, "epochs": 16, "batch_size": 16, "warmup_ratio": 0.1, "gradient_accumulation": 1, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.0, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": 1024, "use_peft": true, "lora_r": 16, "lora_alpha": 32, "lora_dropout": 0.05, "logging_steps": -1, "evaluation_strategy": "epoch", "save_total_limit": 1, "save_strategy": "epoch", "auto_find_batch_size": false, "fp16": false, "push_to_hub": true, "use_int8": false, "model_max_length": 1024, "repo_id": "strumber/TheLlamaLetsMOD2", "use_int4": true, "trainer": "sft", "target_modules": null, "merge_adapter": false, "username": null}
|