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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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base_model: jinunyachhyon/MobileLLM_Finetune_onDialogueDataset |
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model-index: |
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- name: MobileLLM_Finetune_onDialogueDataset_32k |
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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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# MobileLLM_Finetune_onDialogueDataset_32k |
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This model is a fine-tuned version of [jinunyachhyon/MobileLLM_Finetune_onDialogueDataset](https://huggingface.co/jinunyachhyon/MobileLLM_Finetune_onDialogueDataset) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0771 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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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- num_epochs: 5 |
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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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| 0.0747 | 1.0 | 7355 | 0.0775 | |
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| 0.0741 | 2.0 | 14710 | 0.0776 | |
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| 0.0706 | 3.0 | 22065 | 0.0775 | |
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| 0.0726 | 4.0 | 29420 | 0.0770 | |
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| 0.0713 | 5.0 | 36775 | 0.0771 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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