ryusangwon
commited on
Commit
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Parent(s):
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./checkpoints/rlqaf/1858
Browse files- README.md +55 -0
- adapter_config.json +21 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: meta-llama/Llama-2-13b-hf
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tags:
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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model-index:
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- name: '1858'
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results: []
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library_name: peft
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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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# 1858
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the cnn_dailymail dataset.
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## Model description
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 3
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### Training results
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### Framework versions
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- PEFT 0.4.0
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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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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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa8eef3c81a82780d538b5ca34a51a88cfc08fc5b8019bf30f91d6678c959d7c
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size 26235704
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1ff1377b31a7536f2f1bbad517aa3270e87cbb67a9c599a19900c8cfa926b60
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size 4664
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