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cy948
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starcoder-peft-airscript

PEFT
Safetensors
Generated from Trainer
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End of training

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  1. README.md +18 -19
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.7155
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  ## Model description
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@@ -44,29 +44,28 @@ The following hyperparameters were used during training:
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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: 1700
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.2691 | 0.0588 | 100 | 1.1636 |
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- | 0.9655 | 0.1176 | 200 | 0.9384 |
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- | 0.8138 | 0.1765 | 300 | 0.8387 |
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- | 0.719 | 0.2353 | 400 | 0.7847 |
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- | 0.6408 | 0.2941 | 500 | 0.7503 |
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- | 0.5788 | 0.3529 | 600 | 0.7314 |
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- | 0.5386 | 0.4118 | 700 | 0.7168 |
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- | 0.4894 | 0.4706 | 800 | 0.7156 |
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- | 0.4583 | 0.5294 | 900 | 0.7101 |
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- | 0.4271 | 0.5882 | 1000 | 0.7070 |
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- | 0.4053 | 0.6471 | 1100 | 0.7117 |
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- | 0.3934 | 0.7059 | 1200 | 0.7123 |
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- | 0.379 | 0.7647 | 1300 | 0.7143 |
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- | 0.3666 | 0.8235 | 1400 | 0.7171 |
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- | 0.363 | 0.8824 | 1500 | 0.7171 |
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- | 0.3588 | 0.9412 | 1600 | 0.7163 |
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- | 0.357 | 1.0 | 1700 | 0.7155 |
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  ### Framework versions
 
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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: 0.7299
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  ## Model description
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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: 1600
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.1981 | 0.0625 | 100 | 1.1007 |
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+ | 0.9021 | 0.125 | 200 | 0.8910 |
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+ | 0.7494 | 0.1875 | 300 | 0.8009 |
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+ | 0.6504 | 0.25 | 400 | 0.7542 |
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+ | 0.5704 | 0.3125 | 500 | 0.7279 |
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+ | 0.5081 | 0.375 | 600 | 0.7175 |
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+ | 0.4696 | 0.4375 | 700 | 0.7109 |
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+ | 0.4245 | 0.5 | 800 | 0.7151 |
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+ | 0.3962 | 0.5625 | 900 | 0.7135 |
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+ | 0.3686 | 0.625 | 1000 | 0.7156 |
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+ | 0.3514 | 0.6875 | 1100 | 0.7244 |
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+ | 0.3418 | 0.75 | 1200 | 0.7268 |
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+ | 0.3317 | 0.8125 | 1300 | 0.7302 |
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+ | 0.3228 | 0.875 | 1400 | 0.7301 |
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+ | 0.3211 | 0.9375 | 1500 | 0.7304 |
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+ | 0.3188 | 1.0 | 1600 | 0.7299 |
 
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  ### Framework versions