library_name: transformers
tags:
- unsloth
- information-extraction
- llama3
- finetuning
language:
- en
Model Card for Model ID
The model extracts the triplet from the given text. Example: Input: "Nie Haisheng, born on October 13, 1964, worked as a fighter pilot." Output: {'mtriple_set': [['Nie_Haisheng | birthDate | 1964-10-13', 'Nie_Haisheng | occupation | Fighter_pilot']]}
Model Details
Base Model: Llama 3 - 8B Qunatisation: 4 bit LoRA rank: 16
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Training Details
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max_seq_length = 2000 trainer = SFTTrainer( model = model, tokenizer = tokenizer, train_dataset = train, dataset_text_field = "text", max_seq_length = max_seq_length, dataset_num_proc = 2, packing = False, # Can make training 5x faster for short sequences. args = TrainingArguments( per_device_train_batch_size = 2, gradient_accumulation_steps = 4, warmup_steps = 5, max_steps = 50, learning_rate = 2e-4, fp16 = not is_bfloat16_supported(), bf16 = is_bfloat16_supported(), logging_steps = 1, optim = "adamw_8bit", weight_decay = 0.01, lr_scheduler_type = "linear", seed = 3407, output_dir = "outputs", ), )
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: 1 T4 GPU, RAM: 16 GB
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- Cloud Provider: Google CoLab
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