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--- |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-1B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: quality-lr5e-06-rr0.1-epochs2-bs16-wd0.01-warmup0.05-Llama3.21B |
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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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# quality-lr5e-06-rr0.1-epochs2-bs16-wd0.01-warmup0.05-Llama3.21B |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4583 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 3 |
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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: 16 |
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- total_eval_batch_size: 24 |
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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_ratio: 0.05 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 1.3438 | 0.1000 | 1372 | 2.4412 | |
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| 1.3308 | 0.2001 | 2744 | 2.4745 | |
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| 1.1389 | 0.3001 | 4116 | 2.4700 | |
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| 1.0742 | 0.4001 | 5488 | 2.4735 | |
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| 1.2025 | 0.5002 | 6860 | 2.4791 | |
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| 0.9616 | 0.6002 | 8232 | 2.4880 | |
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| 1.0427 | 0.7002 | 9604 | 2.4838 | |
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| 1.021 | 0.8003 | 10976 | 2.4824 | |
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| 0.9657 | 0.9003 | 12348 | 2.4816 | |
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| 0.9601 | 1.0003 | 13720 | 2.4775 | |
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| 0.9308 | 1.1004 | 15092 | 2.4743 | |
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| 0.9075 | 1.2004 | 16464 | 2.4721 | |
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| 0.9257 | 1.3004 | 17836 | 2.4684 | |
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| 0.9466 | 1.4005 | 19208 | 2.4655 | |
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| 1.9584 | 1.5005 | 20580 | 2.4628 | |
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| 0.8827 | 1.6005 | 21952 | 2.4609 | |
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| 0.9602 | 1.7006 | 23324 | 2.4596 | |
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| 0.9366 | 1.8006 | 24696 | 2.4587 | |
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| 0.87 | 1.9006 | 26068 | 2.4583 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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