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End of training

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  1. README.md +79 -0
  2. merges.txt +0 -0
  3. special_tokens_map.json +44 -0
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +186 -0
  6. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: bigcode-openrail-m
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+ base_model: bigcode/starcoderbase-1b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: model
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+ results: []
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+ ---
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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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+
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+ # model
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+
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+ This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9188
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7875 | 0.05 | 100 | 0.9020 |
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+ | 0.8714 | 0.1 | 200 | 0.9049 |
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+ | 0.9661 | 0.15 | 300 | 0.9036 |
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+ | 0.9201 | 0.2 | 400 | 0.9043 |
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+ | 0.9876 | 0.25 | 500 | 0.9063 |
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+ | 0.7047 | 0.3 | 600 | 0.9101 |
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+ | 0.9354 | 0.35 | 700 | 0.9089 |
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+ | 0.9068 | 0.4 | 800 | 0.9108 |
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+ | 0.9546 | 0.45 | 900 | 0.9116 |
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+ | 0.7253 | 0.5 | 1000 | 0.9141 |
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+ | 0.9153 | 0.55 | 1100 | 0.9136 |
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+ | 0.9123 | 0.6 | 1200 | 0.9148 |
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+ | 0.8961 | 0.65 | 1300 | 0.9148 |
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+ | 0.8893 | 0.7 | 1400 | 0.9178 |
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+ | 0.8112 | 0.75 | 1500 | 0.9178 |
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+ | 0.8803 | 0.8 | 1600 | 0.9167 |
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+ | 0.8693 | 0.85 | 1700 | 0.9167 |
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+ | 0.8919 | 0.9 | 1800 | 0.9181 |
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+ | 0.791 | 0.95 | 1900 | 0.9190 |
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+ | 0.9191 | 1.0 | 2000 | 0.9188 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
merges.txt ADDED
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vocab.json ADDED
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