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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_docidx_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_docidx_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: 0.7676
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- Accuracy: 0.7929
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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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| 1.108 | 1.0 | 839 | 1.3252 | 0.7537 |
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| 1.0489 | 2.0 | 1678 | 1.2690 | 0.7580 |
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| 0.9812 | 3.0 | 2517 | 1.1602 | 0.7631 |
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| 0.902 | 4.0 | 3357 | 1.0981 | 0.7679 |
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| 0.8047 | 5.0 | 4196 | 1.0106 | 0.7727 |
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| 0.7028 | 6.0 | 5035 | 0.9448 | 0.7777 |
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| 0.6141 | 7.0 | 5874 | 0.8789 | 0.7818 |
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| 0.5393 | 8.0 | 6714 | 0.8737 | 0.7859 |
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| 0.4595 | 9.0 | 7553 | 0.8019 | 0.7896 |
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| 0.3927 | 10.0 | 8390 | 0.7676 | 0.7929 |
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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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