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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: out |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# out |
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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: 1.2049 |
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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: 3.8e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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: 10 |
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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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| 1.3761 | 0.01 | 1 | 1.4211 | |
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| 1.1922 | 0.2 | 14 | 1.2246 | |
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| 1.095 | 0.4 | 28 | 1.2137 | |
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| 1.1475 | 0.6 | 42 | 1.2152 | |
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| 1.1639 | 0.81 | 56 | 1.2224 | |
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| 1.0431 | 1.01 | 70 | 1.2131 | |
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| 0.9464 | 1.21 | 84 | 1.2100 | |
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| 1.1368 | 1.41 | 98 | 1.2060 | |
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| 1.0991 | 1.61 | 112 | 1.2022 | |
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| 0.9896 | 1.81 | 126 | 1.2014 | |
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| 0.9592 | 2.01 | 140 | 1.1991 | |
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| 0.9789 | 2.22 | 154 | 1.2054 | |
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| 1.0028 | 2.42 | 168 | 1.2048 | |
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| 0.9374 | 2.62 | 182 | 1.2051 | |
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| 0.9318 | 2.82 | 196 | 1.2049 | |
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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 2.14.4 |
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- Tokenizers 0.14.0 |
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