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Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- added_tokens.json +5 -0
- checkpoint-120/README.md +34 -0
- checkpoint-120/adapter_config.json +21 -0
- checkpoint-120/adapter_model.bin +3 -0
- checkpoint-120/added_tokens.json +5 -0
- checkpoint-120/optimizer.pt +3 -0
- checkpoint-120/rng_state.pth +3 -0
- checkpoint-120/scheduler.pt +3 -0
- checkpoint-120/special_tokens_map.json +6 -0
- checkpoint-120/tokenizer.json +0 -0
- checkpoint-120/tokenizer.model +3 -0
- checkpoint-120/tokenizer_config.json +38 -0
- checkpoint-120/trainer_state.json +31 -0
- checkpoint-120/training_args.bin +3 -0
- runs/Oct18_06-36-32_e12809ebe8f9/events.out.tfevents.1697610993.e12809ebe8f9.1309.0 +3 -0
- runs/Oct18_06-41-34_e12809ebe8f9/events.out.tfevents.1697611294.e12809ebe8f9.3594.0 +3 -0
- runs/Oct18_06-54-32_e12809ebe8f9/events.out.tfevents.1697612073.e12809ebe8f9.6897.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +38 -0
- training_args.bin +3 -0
- training_params.json +43 -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": "TinyPixel/Llama-2-7B-bf16-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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"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 sha256:24343c7a3c90bf8edb0ea13a713b5e58c9e944f62f592c17901d7614c5582db0
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size 33600461
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added_tokens.json
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{
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"</s>": 2,
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"<s>": 1,
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"<unk>": 0
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}
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checkpoint-120/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-120/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "TinyPixel/Llama-2-7B-bf16-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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"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-120/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 33600461
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checkpoint-120/added_tokens.json
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checkpoint-120/optimizer.pt
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checkpoint-120/rng_state.pth
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checkpoint-120/scheduler.pt
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checkpoint-120/special_tokens_map.json
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checkpoint-120/tokenizer.json
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The diff for this file is too large to render.
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checkpoint-120/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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checkpoint-120/tokenizer_config.json
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}
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},
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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"model_max_length": 2048,
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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}
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checkpoint-120/trainer_state.json
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"step": 106
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}
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],
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"logging_steps": 53,
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"max_steps": 2680,
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"num_train_epochs": 10,
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"trial_params": null
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}
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checkpoint-120/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4091
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runs/Oct18_06-36-32_e12809ebe8f9/events.out.tfevents.1697610993.e12809ebe8f9.1309.0
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runs/Oct18_06-41-34_e12809ebe8f9/events.out.tfevents.1697611294.e12809ebe8f9.3594.0
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special_tokens_map.json
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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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"eos_token": "</s>",
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"model_max_length": 2048,
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"pad_token": "</s>",
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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:e8c096b37e8f725064c3af2a4cba04acab3024b3ec2ae6a148c7659529770cf5
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size 4091
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training_params.json
ADDED
@@ -0,0 +1,43 @@
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1 |
+
{
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+
"model": "TinyPixel/Llama-2-7B-bf16-sharded",
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"data_path": "gayathrimanoj/dataset_shell_alpaca",
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4 |
+
"project_name": "llama2-7b-shell",
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5 |
+
"train_split": "train",
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6 |
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"valid_split": null,
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7 |
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"text_column": "text",
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8 |
+
"rejected_text_column": "rejected",
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9 |
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"token": null,
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10 |
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"lr": 0.0002,
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11 |
+
"epochs": 10,
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12 |
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"batch_size": 2,
|
13 |
+
"warmup_ratio": 0.1,
|
14 |
+
"gradient_accumulation": 1,
|
15 |
+
"optimizer": "adamw_torch",
|
16 |
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"scheduler": "linear",
|
17 |
+
"weight_decay": 0.0,
|
18 |
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"max_grad_norm": 1.0,
|
19 |
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"seed": 42,
|
20 |
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"add_eos_token": false,
|
21 |
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"block_size": -1,
|
22 |
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"use_peft": true,
|
23 |
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"lora_r": 16,
|
24 |
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"lora_alpha": 32,
|
25 |
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"lora_dropout": 0.05,
|
26 |
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"logging_steps": -1,
|
27 |
+
"evaluation_strategy": "epoch",
|
28 |
+
"save_total_limit": 1,
|
29 |
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"save_strategy": "epoch",
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30 |
+
"auto_find_batch_size": false,
|
31 |
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"fp16": false,
|
32 |
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"push_to_hub": false,
|
33 |
+
"use_int8": false,
|
34 |
+
"model_max_length": 2048,
|
35 |
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"repo_id": null,
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"use_int4": true,
|
37 |
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"trainer": "sft",
|
38 |
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"target_modules": null,
|
39 |
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"merge_adapter": false,
|
40 |
+
"username": null,
|
41 |
+
"use_flash_attention_2": false,
|
42 |
+
"disable_gradient_checkpointing": false
|
43 |
+
}
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