Add large files with LFS
Browse files- .gitattributes +3 -0
- README.md +9 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
- training_params.json +44 -0
.gitattributes
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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adapter_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-36/optimizer.pt filter=lfs diff=lfs merge=lfs -text
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optimizer.pt filter=lfs diff=lfs merge=lfs -text
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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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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "bn22/Mistral-7B-Instruct-v0.1-sharded",
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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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"rank_pattern": {},
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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 sha256:100eb583866fcb4136289961ffdec782f42a7c884baedc7b9df92d8bb505b834
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size 27309386
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1024,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:224fd5b1cf358c58f53eceff582420a87272a940d71cc8a267b58ae2eb3895cd
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size 4536
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training_params.json
ADDED
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{
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"model": "bn22/Mistral-7B-Instruct-v0.1-sharded",
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"data_path": ".",
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"project_name": "mistral-7b-fraud-test-finetuned",
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"train_split": "train",
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"valid_split": null,
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"text_column": "text",
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"rejected_text_column": "rejected",
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"token": null,
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"lr": 0.0002,
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"epochs": 3,
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"batch_size": 5,
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"warmup_ratio": 0.1,
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"gradient_accumulation": 1,
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"optimizer": "adamw_torch",
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"scheduler": "linear",
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"weight_decay": 0.0,
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"max_grad_norm": 1.0,
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"seed": 42,
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"add_eos_token": false,
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"block_size": -1,
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"use_peft": true,
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"lora_r": 16,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"logging_steps": -1,
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"evaluation_strategy": "epoch",
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"save_total_limit": 1,
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"save_strategy": "epoch",
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"auto_find_batch_size": false,
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"fp16": false,
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"push_to_hub": false,
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"use_int8": false,
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"model_max_length": 1024,
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"repo_id": "0xOracle/mistral-7b-fraud-test-finetuned",
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"use_int4": true,
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"trainer": "sft",
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"target_modules": "q_proj,v_proj",
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"merge_adapter": false,
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"username": null,
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"use_flash_attention_2": false,
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"log": "none",
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"disable_gradient_checkpointing": false
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}
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