End of training
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README.md
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---
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license: llama2
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base_model: TheBloke/Xwin-LM-70B-V0.1-GPTQ
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tags:
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- generated_from_trainer
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model-index:
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- name: Xwin70b_fans
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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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# Xwin70b_fans
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This model is a fine-tuned version of [TheBloke/Xwin-LM-70B-V0.1-GPTQ](https://huggingface.co/TheBloke/Xwin-LM-70B-V0.1-GPTQ) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0073
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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: 0.0004
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- train_batch_size: 1
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- eval_batch_size: 1
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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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- lr_scheduler_warmup_steps: 2
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- training_steps: 120
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.8351 | 0.02 | 10 | 1.4544 |
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| 1.2903 | 0.04 | 20 | 1.2835 |
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| 1.1891 | 0.07 | 30 | 1.1606 |
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| 1.0652 | 0.09 | 40 | 1.1180 |
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| 1.0889 | 0.11 | 50 | 1.0877 |
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| 1.0931 | 0.13 | 60 | 1.0617 |
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| 0.981 | 0.15 | 70 | 1.0435 |
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| 0.9941 | 0.17 | 80 | 1.0276 |
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| 0.9802 | 0.2 | 90 | 1.0218 |
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| 1.1242 | 0.22 | 100 | 1.0135 |
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| 1.0687 | 0.24 | 110 | 1.0111 |
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| 0.9263 | 0.26 | 120 | 1.0073 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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