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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
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model-index: |
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- name: deepseek-coder-6.7b-instruct-TAVGEN-finetune |
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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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# deepseek-coder-6.7b-instruct-TAVGEN-finetune |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3206 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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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_steps: 1 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5933 | 0.21 | 25 | 0.4703 | |
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| 0.4589 | 0.42 | 50 | 0.4026 | |
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| 0.4226 | 0.63 | 75 | 0.3733 | |
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| 0.3968 | 0.84 | 100 | 0.3605 | |
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| 0.3645 | 1.05 | 125 | 0.3483 | |
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| 0.355 | 1.26 | 150 | 0.3421 | |
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| 0.3318 | 1.47 | 175 | 0.3365 | |
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| 0.3377 | 1.68 | 200 | 0.3318 | |
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| 0.3111 | 1.89 | 225 | 0.3287 | |
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| 0.3324 | 2.1 | 250 | 0.3242 | |
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| 0.2757 | 2.31 | 275 | 0.3254 | |
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| 0.3061 | 2.52 | 300 | 0.3253 | |
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| 0.3015 | 2.73 | 325 | 0.3218 | |
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| 0.2674 | 2.94 | 350 | 0.3209 | |
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| 0.2579 | 3.15 | 375 | 0.3208 | |
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| 0.2601 | 3.36 | 400 | 0.3225 | |
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| 0.2396 | 3.57 | 425 | 0.3222 | |
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| 0.2504 | 3.78 | 450 | 0.3220 | |
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| 0.2786 | 3.99 | 475 | 0.3206 | |
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| 0.2357 | 4.2 | 500 | 0.3206 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
