End of training
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: codellama-7b-humaneval-java-fim
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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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# codellama-7b-humaneval-java-fim
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6155
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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: 0.0005
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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_steps: 30
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- training_steps: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6594 | 0.05 | 100 | 0.6927 |
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| 0.6701 | 0.1 | 200 | 0.6784 |
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| 0.6329 | 0.15 | 300 | 0.6690 |
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| 0.6361 | 0.2 | 400 | 0.6629 |
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| 0.5964 | 0.25 | 500 | 0.6545 |
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| 0.6247 | 0.3 | 600 | 0.6461 |
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| 0.6146 | 0.35 | 700 | 0.6407 |
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| 0.5892 | 0.4 | 800 | 0.6364 |
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| 0.5916 | 0.45 | 900 | 0.6308 |
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| 0.6069 | 0.5 | 1000 | 0.6267 |
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| 0.5804 | 0.55 | 1100 | 0.6242 |
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| 0.5793 | 0.6 | 1200 | 0.6212 |
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| 0.5836 | 0.65 | 1300 | 0.6195 |
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| 0.5839 | 0.7 | 1400 | 0.6174 |
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| 0.597 | 0.75 | 1500 | 0.6162 |
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| 0.6042 | 0.8 | 1600 | 0.6158 |
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| 0.5777 | 0.85 | 1700 | 0.6155 |
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| 0.5683 | 0.9 | 1800 | 0.6155 |
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| 0.5613 | 0.95 | 1900 | 0.6155 |
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| 0.5597 | 1.0 | 2000 | 0.6155 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.16.1
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- Tokenizers 0.14.1
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