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--- |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B |
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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: C020_random_sample_llama3-8b-base_pretrain_20240505_135320 |
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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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# C020_random_sample_llama3-8b-base_pretrain_20240505_135320 |
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This model is a fine-tuned version of [/data/pro-align/progressalign/shared_storage/downloaded_models/llama3-8b-base](https://huggingface.co//data/pro-align/progressalign/shared_storage/downloaded_models/llama3-8b-base) on the C020_random_sample_data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9418 |
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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: 1.5e-05 |
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- train_batch_size: 4 |
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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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- total_train_batch_size: 32 |
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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: polynomial |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 4.0 |
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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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| 1.9087 | 0.4032 | 200 | 1.9717 | |
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| 1.8752 | 0.8065 | 400 | 1.9418 | |
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| 1.6383 | 1.2097 | 600 | 1.9440 | |
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| 1.7073 | 1.6129 | 800 | 1.9435 | |
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| 1.6699 | 2.0161 | 1000 | 1.9428 | |
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| 1.7212 | 2.4194 | 1200 | 1.9445 | |
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| 1.7346 | 2.8226 | 1400 | 1.9443 | |
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| 1.7028 | 3.2258 | 1600 | 1.9448 | |
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| 1.7383 | 3.6290 | 1800 | 1.9450 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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