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--- |
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license: apache-2.0 |
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base_model: openlm-research/open_llama_3b_v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: working |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# working |
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This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset. |
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## Model description |
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training_arguments = TrainingArguments( |
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per_device_train_batch_size=8, |
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num_train_epochs=10, |
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learning_rate=3e-5, |
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gradient_accumulation_steps=2, |
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optim="adamw_hf", |
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fp16=True, |
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logging_steps=1, |
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# debug=True, |
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output_dir="/kaggle/Tatvajsh/Lllama_AHS_V_7.0/" |
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# warmup_steps=100, |
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) |
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trainer = SFTTrainer( |
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model=model, |
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tokenizer=tokenizer, |
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train_dataset=dataset, |
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dataset_text_field="text", |
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peft_config=lora_config, |
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max_seq_length=512, |
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args=training_arguments, |
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# packing=True,#change |
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) |
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trainer.train() |
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EPOCHS=[30-50] |
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from peft import LoraConfig, get_peft_model |
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lora_config = LoraConfig( |
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r=16, |
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lora_alpha=64, |
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target_modules=['base_layer','gate_proj', 'v_proj','up_proj','down_proj','q_proj','k_proj','o_proj'], |
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lora_dropout=0.05, |
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bias="none", |
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task_type="CAUSAL_LM" |
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) |
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def generate_prompt(row) -> str: |
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prompt=f""" |
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Below is an instruction that describes a task. Write a response that appropriately completes the request. |
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### Instruction: |
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{row['Instruction']} |
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### Response: |
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{row['Answer']} |
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### End |
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""" |
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return prompt |
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WHEN THE TRAINING LOSS IN NOT REDUCING THEN TRY SETTING FOR LESSER VALUE OF LEARNING RATE I.E. 2E-5 TO 3E-5,ETC. |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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