File size: 3,411 Bytes
4d8debf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
---
base_model: bigcode/starcoderbase-7b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-lora-cutlass
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# peft-starcoder-lora-cutlass
This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4322
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5409 | 0.025 | 100 | 0.4729 |
| 0.3672 | 0.05 | 200 | 0.4051 |
| 0.3432 | 0.075 | 300 | 0.3876 |
| 0.312 | 0.1 | 400 | 0.3548 |
| 0.2594 | 0.125 | 500 | 0.3507 |
| 0.2821 | 0.15 | 600 | 0.3428 |
| 0.1958 | 0.175 | 700 | 0.3391 |
| 0.2362 | 0.2 | 800 | 0.3405 |
| 0.209 | 0.225 | 900 | 0.3421 |
| 0.2114 | 0.25 | 1000 | 0.3481 |
| 0.1877 | 0.275 | 1100 | 0.3447 |
| 0.1903 | 0.3 | 1200 | 0.3533 |
| 0.1723 | 0.325 | 1300 | 0.3578 |
| 0.1465 | 0.35 | 1400 | 0.3643 |
| 0.1751 | 0.375 | 1500 | 0.3639 |
| 0.1213 | 0.4 | 1600 | 0.3749 |
| 0.119 | 0.425 | 1700 | 0.3692 |
| 0.1199 | 0.45 | 1800 | 0.3820 |
| 0.0986 | 0.475 | 1900 | 0.3816 |
| 0.1232 | 0.5 | 2000 | 0.3868 |
| 0.0819 | 0.525 | 2100 | 0.3923 |
| 0.096 | 0.55 | 2200 | 0.3964 |
| 0.0873 | 0.575 | 2300 | 0.3977 |
| 0.0892 | 0.6 | 2400 | 0.4007 |
| 0.0802 | 0.625 | 2500 | 0.4078 |
| 0.066 | 0.65 | 2600 | 0.4119 |
| 0.0863 | 0.675 | 2700 | 0.4125 |
| 0.0722 | 0.7 | 2800 | 0.4189 |
| 0.0888 | 0.725 | 2900 | 0.4201 |
| 0.0757 | 0.75 | 3000 | 0.4263 |
| 0.0666 | 0.775 | 3100 | 0.4234 |
| 0.0757 | 0.8 | 3200 | 0.4275 |
| 0.053 | 0.825 | 3300 | 0.4289 |
| 0.0772 | 0.85 | 3400 | 0.4290 |
| 0.0546 | 0.875 | 3500 | 0.4297 |
| 0.0601 | 0.9 | 3600 | 0.4311 |
| 0.0606 | 0.925 | 3700 | 0.4317 |
| 0.0544 | 0.95 | 3800 | 0.4314 |
| 0.065 | 0.975 | 3900 | 0.4320 |
| 0.0503 | 1.0 | 4000 | 0.4322 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.4.0a0+07cecf4168.nv24.05
- Datasets 2.20.0
- Tokenizers 0.19.1 |