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--- |
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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-chat-hf-ark |
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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-chat-hf-ark |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0662 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10 |
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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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| 7.825 | 1.0 | 411 | 5.9952 | |
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| 5.5992 | 2.0 | 822 | 4.6529 | |
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| 4.6435 | 3.0 | 1233 | 4.3127 | |
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| 4.1195 | 4.0 | 1645 | 4.1649 | |
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| 3.9117 | 5.0 | 2056 | 4.0878 | |
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| 3.7508 | 6.0 | 2467 | 4.0662 | |
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| 3.5867 | 7.0 | 2878 | 4.1062 | |
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| 3.1731 | 8.0 | 3290 | 4.2059 | |
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| 2.8522 | 9.0 | 3701 | 4.3372 | |
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| 2.6968 | 9.99 | 4110 | 4.3987 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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