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peft-starcoder-finetuned

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End of training

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  1. README.md +14 -54
  2. adapter_model.safetensors +1 -1
  3. runs/Dec25_06-20-47_localhost/events.out.tfevents.1735087849.localhost +2 -2
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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8901
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  ## Model description
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@@ -43,63 +43,23 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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: 20
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  - training_steps: 1000
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 1.0733 | 0.1631 | 20 | 0.9622 |
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- | 1.0649 | 0.3262 | 40 | 0.9528 |
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- | 1.0324 | 0.4893 | 60 | 0.9462 |
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- | 1.0216 | 0.6524 | 80 | 0.9424 |
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- | 1.0067 | 0.8155 | 100 | 0.9368 |
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- | 0.9977 | 0.9786 | 120 | 0.9329 |
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- | 0.97 | 1.1458 | 140 | 0.9302 |
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- | 0.9085 | 1.3089 | 160 | 0.9279 |
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- | 0.934 | 1.4720 | 180 | 0.9233 |
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- | 1.0061 | 1.6351 | 200 | 0.9184 |
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- | 0.9564 | 1.7982 | 220 | 0.9165 |
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- | 0.9738 | 1.9613 | 240 | 0.9126 |
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- | 0.8864 | 2.1284 | 260 | 0.9114 |
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- | 0.9144 | 2.2915 | 280 | 0.9113 |
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- | 0.9443 | 2.4546 | 300 | 0.9098 |
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- | 0.9444 | 2.6177 | 320 | 0.9083 |
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- | 0.887 | 2.7808 | 340 | 0.9058 |
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- | 0.9398 | 2.9439 | 360 | 0.9052 |
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- | 0.9015 | 3.1111 | 380 | 0.9031 |
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- | 0.8536 | 3.2742 | 400 | 0.9024 |
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- | 0.8765 | 3.4373 | 420 | 0.9002 |
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- | 0.9198 | 3.6004 | 440 | 0.8997 |
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- | 0.9468 | 3.7635 | 460 | 0.8989 |
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- | 0.8631 | 3.9266 | 480 | 0.8978 |
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- | 0.8777 | 4.0938 | 500 | 0.8977 |
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- | 0.9006 | 4.2569 | 520 | 0.8959 |
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- | 0.8768 | 4.4200 | 540 | 0.8957 |
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- | 0.8477 | 4.5831 | 560 | 0.8951 |
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- | 0.9061 | 4.7462 | 580 | 0.8937 |
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- | 0.8837 | 4.9093 | 600 | 0.8930 |
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- | 0.8402 | 5.0765 | 620 | 0.8939 |
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- | 0.8608 | 5.2396 | 640 | 0.8931 |
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- | 0.879 | 5.4027 | 660 | 0.8928 |
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- | 0.8562 | 5.5657 | 680 | 0.8922 |
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- | 0.8776 | 5.7288 | 700 | 0.8913 |
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- | 0.8464 | 5.8919 | 720 | 0.8910 |
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- | 0.8528 | 6.0591 | 740 | 0.8914 |
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- | 0.8538 | 6.2222 | 760 | 0.8910 |
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- | 0.8844 | 6.3853 | 780 | 0.8905 |
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- | 0.8652 | 6.5484 | 800 | 0.8906 |
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- | 0.8443 | 6.7115 | 820 | 0.8905 |
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- | 0.8546 | 6.8746 | 840 | 0.8899 |
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- | 0.8094 | 7.0418 | 860 | 0.8904 |
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- | 0.863 | 7.2049 | 880 | 0.8899 |
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- | 0.8642 | 7.3680 | 900 | 0.8902 |
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- | 0.8413 | 7.5311 | 920 | 0.8901 |
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- | 0.8119 | 7.6942 | 940 | 0.8903 |
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- | 0.8909 | 7.8573 | 960 | 0.8901 |
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- | 0.8516 | 8.0245 | 980 | 0.8900 |
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- | 0.8834 | 8.1876 | 1000 | 0.8901 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7358
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  ## Model description
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  - total_train_batch_size: 16
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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: 50
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  - training_steps: 1000
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 1.1611 | 2.8470 | 100 | 0.6569 |
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+ | 0.845 | 5.6940 | 200 | 0.6875 |
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+ | 0.7272 | 8.5409 | 300 | 0.6951 |
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+ | 0.6726 | 11.3879 | 400 | 0.7098 |
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+ | 0.6433 | 14.2349 | 500 | 0.7211 |
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+ | 0.6115 | 17.0819 | 600 | 0.7309 |
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+ | 0.5989 | 19.9288 | 700 | 0.7325 |
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+ | 0.5888 | 22.7758 | 800 | 0.7352 |
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+ | 0.5828 | 25.6228 | 900 | 0.7355 |
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+ | 0.5851 | 28.4698 | 1000 | 0.7358 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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