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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- unsloth |
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- generated_from_trainer |
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base_model: cognitivecomputations/dolphin-2.9-llama3-8b |
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model-index: |
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- name: dolphin-2.9-llama3-8b-GER |
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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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# dolphin-2.9-llama3-8b-GER |
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This model is a fine-tuned version of [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) on the identity, the alpaca-gpt4_de, the dolphin_de and the airoboros_de datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9384 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 2 |
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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_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 80 |
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- num_epochs: 1.0 |
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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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| 1.2054 | 0.12 | 100 | 1.0369 | |
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| 1.0667 | 0.24 | 200 | 1.0012 | |
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| 1.0751 | 0.35 | 300 | 0.9849 | |
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| 0.8838 | 0.47 | 400 | 0.9696 | |
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| 0.9846 | 0.59 | 500 | 0.9565 | |
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| 0.9523 | 0.71 | 600 | 0.9486 | |
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| 0.8567 | 0.82 | 700 | 0.9430 | |
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| 0.8284 | 0.94 | 800 | 0.9384 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.2 |
