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XanderJC
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gptj-sft-tldr

PEFT
Safetensors
Generated from Trainer
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gptj-sft-tldr

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Files changed (10) hide show
  1. README.md +56 -0
  2. adapter_config.json +26 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +145 -0
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  7. tokenizer.json +0 -0
  8. tokenizer_config.json +1166 -0
  9. training_args.bin +3 -0
  10. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - summarize_from_feedback
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+ base_model: EleutherAI/gpt-j-6b
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+ model-index:
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+ - name: gptj-sft-tldr
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+ results: []
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+ ---
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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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+
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+ # gptj-sft-tldr
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+
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+ This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the summarize_from_feedback dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 6
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "base_model_name_or_path": "EleutherAI/gpt-j-6b",
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "lora_dropout": 0.0,
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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": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "v_proj",
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+ "q_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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