Model save
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- adapter_model.bin +1 -1
README.md
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---
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base_model: meta-llama/Llama-2-7b-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
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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-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4107
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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_ratio: 0.03
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2903 | 0.3 | 244 | 1.4168 |
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| 1.3252 | 0.6 | 488 | 1.4060 |
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| 1.3215 | 0.9 | 732 | 1.4003 |
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| 1.9272 | 1.2 | 976 | 1.4028 |
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| 1.9263 | 1.5 | 1220 | 1.4029 |
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| 1.4395 | 1.8 | 1464 | 1.4109 |
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| 1.2286 | 2.11 | 1708 | 1.4108 |
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| 1.2331 | 2.41 | 1952 | 1.4082 |
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| 1.4944 | 2.71 | 2196 | 1.4107 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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adapter_model.bin
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