1littlecoder
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Browse files- README.md +9 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- checkpoint-3/README.md +34 -0
- checkpoint-3/adapter_config.json +23 -0
- checkpoint-3/adapter_model.bin +3 -0
- checkpoint-3/optimizer.pt +3 -0
- checkpoint-3/rng_state.pth +3 -0
- checkpoint-3/scheduler.pt +3 -0
- checkpoint-3/special_tokens_map.json +6 -0
- checkpoint-3/tokenizer.json +0 -0
- checkpoint-3/tokenizer.model +3 -0
- checkpoint-3/tokenizer_config.json +40 -0
- checkpoint-3/trainer_state.json +37 -0
- checkpoint-3/training_args.bin +3 -0
- runs/Sep29_20-33-41_7db06c960e6d/events.out.tfevents.1696019621.7db06c960e6d.8931.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -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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"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:e26e0c840d356eb608b6f5b0e03743f82926c94317e0089a2dd04bfa3d8e228c
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size 27308941
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checkpoint-3/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 0.6.0.dev0
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- PEFT 0.6.0.dev0
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checkpoint-3/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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checkpoint-3/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 27308941
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checkpoint-3/optimizer.pt
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size 54633541
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checkpoint-3/rng_state.pth
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checkpoint-3/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-3/special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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checkpoint-3/tokenizer.json
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checkpoint-3/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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checkpoint-3/tokenizer_config.json
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{
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"special": true
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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": null,
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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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checkpoint-3/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.3333333333333335,
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"eval_steps": 500,
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"global_step": 3,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"learning_rate": 0.0002,
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"loss": 1.4339,
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"step": 1
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},
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{
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"epoch": 1.33,
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"learning_rate": 0.000175,
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"loss": 1.4339,
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},
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{
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"step": 3
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}
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],
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"logging_steps": 1,
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"max_steps": 9,
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"num_train_epochs": 3,
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"save_steps": 500,
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"total_flos": 131189314682880.0,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-3/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:44e53d209a2e076b49e09e4d9fd3aefefa4f02a998dced38475601bbbc158509
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size 4091
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runs/Sep29_20-33-41_7db06c960e6d/events.out.tfevents.1696019621.7db06c960e6d.8931.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd7902905c7206d94beda784ffb115d10a9fa8bd455623c06f582a4a6afdd0cf
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size 5336
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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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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tokenizer_config.json
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{
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},
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"sp_model_kwargs": {},
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:44e53d209a2e076b49e09e4d9fd3aefefa4f02a998dced38475601bbbc158509
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size 4091
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training_params.json
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{"model": "bn22/Mistral-7B-Instruct-v0.1-sharded", "data_path": ".", "project_name": "mistral-7b-mj-finetuned", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0002, "epochs": 3, "batch_size": 12, "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": -1, "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": "1littlecoder/mistral-7b-mj-finetuned", "use_int4": true, "trainer": "sft", "target_modules": "q_proj,v_proj", "merge_adapter": false, "username": null, "use_flash_attention_2": false}
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