File size: 2,135 Bytes
e078fe0 27dac23 e078fe0 27dac23 e078fe0 27dac23 e078fe0 |
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 |
---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: starcoder-peft-airscript
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-peft-airscript
This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8171
## 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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1400
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9892 | 0.0714 | 100 | 0.9351 |
| 0.7083 | 0.1429 | 200 | 0.7751 |
| 0.5442 | 0.2143 | 300 | 0.7227 |
| 0.4403 | 0.2857 | 400 | 0.7127 |
| 0.3724 | 0.3571 | 500 | 0.7285 |
| 0.3268 | 0.4286 | 600 | 0.7396 |
| 0.3057 | 0.5 | 700 | 0.7587 |
| 0.2798 | 0.5714 | 800 | 0.7704 |
| 0.2616 | 0.6429 | 900 | 0.7888 |
| 0.2418 | 0.7143 | 1000 | 0.8010 |
| 0.2314 | 0.7857 | 1100 | 0.8092 |
| 0.2268 | 0.8571 | 1200 | 0.8147 |
| 0.223 | 0.9286 | 1300 | 0.8185 |
| 0.2207 | 1.0 | 1400 | 0.8171 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.0.1
- Tokenizers 0.20.1 |