66 lines
1.6 KiB
Markdown
66 lines
1.6 KiB
Markdown
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---
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library_name: transformers
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base_model: meta-llama/Meta-Llama-3-8B
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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: dict
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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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# dict
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co//meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6060
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- Accuracy: 0.4585
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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-05
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- train_batch_size: 40
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- eval_batch_size: 40
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 160
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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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- 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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| 0.7536 | 0.6439 | 500 | 3.6060 | 0.4585 |
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| 0.3454 | 1.2878 | 1000 | 3.9088 | 0.4632 |
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| 0.2247 | 1.9317 | 1500 | 3.9477 | 0.4596 |
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| 0.1506 | 2.5757 | 2000 | 4.0823 | 0.4569 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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