File size: 2,001 Bytes
b06a9b9 0d54b2e ebb0213 b06a9b9 0d54b2e d50d161 0d54b2e b06a9b9 0d54b2e d50d161 0d54b2e d50d161 b06a9b9 0d54b2e d50d161 0d54b2e b06a9b9 ebb0213 0d54b2e |
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 |
---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-finetuned-test_newSnippet
results: []
library_name: peft
---
<!-- 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. -->
# starcoder-finetuned-test_newSnippet
This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1863
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 25
- training_steps: 275
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.5337 | 0.09 | 25 | 0.7416 |
| 0.4715 | 0.18 | 50 | 0.2515 |
| 0.2329 | 0.27 | 75 | 0.2060 |
| 0.2093 | 0.36 | 100 | 0.1973 |
| 0.1994 | 0.45 | 125 | 0.1935 |
| 0.1836 | 1.03 | 150 | 0.1893 |
| 0.1912 | 1.12 | 175 | 0.1877 |
| 0.1947 | 1.21 | 200 | 0.1870 |
| 0.194 | 1.3 | 225 | 0.1865 |
| 0.1908 | 1.39 | 250 | 0.1863 |
| 0.1845 | 1.48 | 275 | 0.1863 |
### Framework versions
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|