File size: 2,440 Bytes
6fd31a6 |
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 |
---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-3b
model-index:
- name: starcoder-3b-hugcoder-loftq
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. -->
# starcoder-3b-hugcoder-loftq
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6305
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 11
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2064 | 0.05 | 100 | 0.7876 |
| 0.9806 | 0.1 | 200 | 0.7596 |
| 0.8669 | 0.15 | 300 | 0.7397 |
| 0.8555 | 0.2 | 400 | 0.7204 |
| 0.8566 | 0.25 | 500 | 0.7058 |
| 0.7643 | 0.3 | 600 | 0.6911 |
| 0.7464 | 0.35 | 700 | 0.6801 |
| 0.734 | 0.4 | 800 | 0.6697 |
| 0.7209 | 0.45 | 900 | 0.6608 |
| 0.6477 | 0.5 | 1000 | 0.6537 |
| 0.7292 | 0.55 | 1100 | 0.6475 |
| 0.6612 | 0.6 | 1200 | 0.6434 |
| 0.6808 | 0.65 | 1300 | 0.6393 |
| 0.6586 | 0.7 | 1400 | 0.6365 |
| 0.662 | 0.75 | 1500 | 0.6333 |
| 0.7034 | 0.8 | 1600 | 0.6322 |
| 0.683 | 0.85 | 1700 | 0.6309 |
| 0.7074 | 0.9 | 1800 | 0.6303 |
| 0.6362 | 0.95 | 1900 | 0.6307 |
| 0.6617 | 1.0 | 2000 | 0.6305 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |