File size: 3,072 Bytes
99d97c4 |
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 |
---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task1-more_symbols_template_small-deepseek-coder-1.3b-base
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. -->
# lemexp-task1-more_symbols_template_small-deepseek-coder-1.3b-base
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1504
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3464 | 0.2000 | 2515 | 0.3264 |
| 0.2953 | 0.4001 | 5030 | 0.2775 |
| 0.2629 | 0.6001 | 7545 | 0.2489 |
| 0.2453 | 0.8001 | 10060 | 0.2290 |
| 0.2283 | 1.0002 | 12575 | 0.2216 |
| 0.2102 | 1.2002 | 15090 | 0.2148 |
| 0.2057 | 1.4002 | 17605 | 0.2071 |
| 0.1965 | 1.6003 | 20120 | 0.1968 |
| 0.185 | 1.8003 | 22635 | 0.1940 |
| 0.1894 | 2.0003 | 25150 | 0.1880 |
| 0.159 | 2.2003 | 27665 | 0.1870 |
| 0.1583 | 2.4004 | 30180 | 0.1786 |
| 0.1592 | 2.6004 | 32695 | 0.1774 |
| 0.1609 | 2.8004 | 35210 | 0.1720 |
| 0.1571 | 3.0005 | 37725 | 0.1670 |
| 0.1301 | 3.2005 | 40240 | 0.1694 |
| 0.1362 | 3.4005 | 42755 | 0.1690 |
| 0.1384 | 3.6006 | 45270 | 0.1595 |
| 0.1296 | 3.8006 | 47785 | 0.1582 |
| 0.1332 | 4.0006 | 50300 | 0.1557 |
| 0.1122 | 4.2007 | 52815 | 0.1581 |
| 0.1116 | 4.4007 | 55330 | 0.1538 |
| 0.1093 | 4.6007 | 57845 | 0.1525 |
| 0.1082 | 4.8008 | 60360 | 0.1534 |
| 0.1056 | 5.0008 | 62875 | 0.1500 |
| 0.0904 | 5.2008 | 65390 | 0.1529 |
| 0.0901 | 5.4009 | 67905 | 0.1516 |
| 0.0893 | 5.6009 | 70420 | 0.1489 |
| 0.0928 | 5.8009 | 72935 | 0.1504 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |