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jonathanjordan21/rnd-lmd-job

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  1. README.md +54 -0
  2. adapter_config.json +29 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +4 -0
  5. merges.txt +0 -0
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  37. tokenizer.json +0 -0
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  39. training_args.bin +3 -0
  40. vocab.json +0 -0
README.md ADDED
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+ ---
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+ base_model: facebook/opt-125m
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+ library_name: peft
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+ license: other
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tests
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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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+ # tests
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+
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+ This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown 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: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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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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+ - num_epochs: 10
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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 0.13.2
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+ - Transformers 4.46.0
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
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+ "loftq_config": {},
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+ "peft_type": "LORA",
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+ "r": 128,
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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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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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vocab.json ADDED
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