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--- |
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license: other |
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base_model: meta-llama/Llama-2-7b-hf |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: hyporadise |
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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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# hyporadise |
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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 hyporadise dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3419 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 32 |
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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: 20 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3436 | 0.21 | 100 | 0.3495 | |
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| 0.3306 | 0.42 | 200 | 0.3352 | |
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| 0.3417 | 0.63 | 300 | 0.3245 | |
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| 0.3154 | 0.84 | 400 | 0.3160 | |
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| 0.1577 | 1.05 | 500 | 0.3239 | |
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| 0.159 | 1.26 | 600 | 0.3230 | |
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| 0.1493 | 1.48 | 700 | 0.3176 | |
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| 0.1498 | 1.69 | 800 | 0.3158 | |
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| 0.147 | 1.9 | 900 | 0.3104 | |
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| 0.0583 | 2.11 | 1000 | 0.3452 | |
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| 0.0547 | 2.32 | 1100 | 0.3395 | |
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| 0.0589 | 2.53 | 1200 | 0.3417 | |
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| 0.0593 | 2.74 | 1300 | 0.3414 | |
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| 0.0624 | 2.95 | 1400 | 0.3420 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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