64 lines
1.6 KiB
Markdown
64 lines
1.6 KiB
Markdown
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---
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library_name: transformers
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license: apache-2.0
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base_model: rovdetection/code-1b-pretrain-v3
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tags:
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- generated_from_trainer
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model-index:
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- name: code-1b-chat-v2
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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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# code-1b-chat-v2
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This model is a fine-tuned version of [rovdetection/code-1b-pretrain-v3](https://huggingface.co/rovdetection/code-1b-pretrain-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9919
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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: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
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- training_steps: 1000
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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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| 1.0509 | 0.8840 | 500 | 1.0258 |
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| 0.6652 | 1.7673 | 1000 | 0.9919 |
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### Framework versions
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- Transformers 5.9.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.5
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- Tokenizers 0.22.2
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