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--- |
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license: apache-2.0 |
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base_model: JackFram/llama-68m |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: recreate_llama_68M_vanilla |
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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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# recreate_llama_68M_vanilla |
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This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the anon8231489123/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3558 |
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- Accuracy: 0.5820 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 48 |
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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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:| |
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| 3.406 | 0.2644 | 1000 | 3.2345 | 0.5035 | |
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| 2.8119 | 0.5288 | 2000 | 2.8216 | 0.5365 | |
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| 2.6076 | 0.7932 | 3000 | 2.6553 | 0.5501 | |
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| 2.4729 | 1.0576 | 4000 | 2.5761 | 0.5581 | |
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| 2.4323 | 1.3221 | 5000 | 2.5363 | 0.5617 | |
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| 2.3824 | 1.5865 | 6000 | 2.4913 | 0.5660 | |
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| 2.3719 | 1.8509 | 7000 | 2.4664 | 0.5686 | |
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| 2.3021 | 2.1153 | 8000 | 2.4404 | 0.5716 | |
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| 2.2848 | 2.3797 | 9000 | 2.4080 | 0.5755 | |
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| 2.2653 | 2.6441 | 10000 | 2.3834 | 0.5785 | |
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| 2.2447 | 2.9085 | 11000 | 2.3603 | 0.5811 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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