Model save
Browse files- README.md +55 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: llama2
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base_model: TheBloke/Llama-2-7b-Chat-GPTQ
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tags:
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- generated_from_trainer
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model-index:
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- name: Llama-2-leaudio
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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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# Llama-2-leaudio
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This model is a fine-tuned version of [TheBloke/Llama-2-7b-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ) on an unknown 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: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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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- lr_scheduler_warmup_steps: 2
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- training_steps: 5
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### Training results
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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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": "TheBloke/Llama-2-7b-Chat-GPTQ",
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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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"k_proj",
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"o_proj",
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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.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bac23a4063663b9331ff5d99c83fa7c98f62af42073a427d921b931eb80bdd2b
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size 33646413
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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:e0cf6f603ede81fb7ebf767766a7f00281c42e07ba7c9a3d2614a04e611a958e
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size 4091
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