sampangtf commited on
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sampangtf/law-nlp

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README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # law-nlp
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- This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
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  ## Model description
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@@ -33,16 +33,16 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 4
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- - optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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- - training_steps: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  # law-nlp
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the None dataset.
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 4
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "alpha_pattern": {},
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  "bias": "none",
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  "exclude_modules": null,
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  "fan_in_fan_out": false,
@@ -17,17 +17,17 @@
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  "megatron_core": "megatron.core",
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  "modules_to_save": null,
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  "peft_type": "LORA",
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- "r": 4,
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  "rank_pattern": {},
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  "target_modules": [
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- "down_proj",
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  "gate_proj",
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  "up_proj",
 
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  "q_proj",
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  "o_proj",
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- "k_proj",
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- "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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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": "meta-llama/Llama-3.2-3B-Instruct",
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  "bias": "none",
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  "exclude_modules": null,
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  "fan_in_fan_out": false,
 
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  "megatron_core": "megatron.core",
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  "modules_to_save": null,
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  "peft_type": "LORA",
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+ "r": 8,
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "gate_proj",
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  "up_proj",
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+ "v_proj",
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  "q_proj",
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  "o_proj",
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+ "down_proj",
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+ "k_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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