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README.md
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---
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license: llama2
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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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metrics:
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- accuracy
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model-index:
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- name: lmind_hotpot_train8000_eval7405_v1_doc_qa_meta-llama_Llama-2-7b-hf_lora2
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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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# lmind_hotpot_train8000_eval7405_v1_doc_qa_meta-llama_Llama-2-7b-hf_lora2
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6271
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- Accuracy: 0.5864
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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: 0.0001
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.2059 | 1.0 | 1089 | 1.8322 | 0.5952 |
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| 1.1499 | 2.0 | 2178 | 1.8031 | 0.5991 |
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| 1.0513 | 3.0 | 3267 | 1.8166 | 0.5990 |
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| 0.9607 | 4.0 | 4357 | 1.8648 | 0.5974 |
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| 0.8735 | 5.0 | 5446 | 1.9525 | 0.5954 |
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| 0.7726 | 6.0 | 6535 | 2.0443 | 0.5936 |
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| 0.6882 | 7.0 | 7624 | 2.2087 | 0.5896 |
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| 0.6014 | 8.0 | 8714 | 2.3552 | 0.5881 |
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| 0.5276 | 9.0 | 9803 | 2.4434 | 0.5878 |
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| 0.475 | 10.0 | 10890 | 2.6271 | 0.5864 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.14.1
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