File size: 3,104 Bytes
7224717 |
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 |
---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-hol-thms-by-file-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-hol-thms-by-file-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: 0.2839
## 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: 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.4174 | 0.2000 | 3777 | 0.4078 |
| 0.34 | 0.4000 | 7554 | 0.3589 |
| 0.3104 | 0.6001 | 11331 | 0.3305 |
| 0.2901 | 0.8001 | 15108 | 0.3113 |
| 0.2823 | 1.0001 | 18885 | 0.2998 |
| 0.2591 | 1.2001 | 22662 | 0.2958 |
| 0.2597 | 1.4001 | 26439 | 0.2871 |
| 0.2536 | 1.6002 | 30216 | 0.2895 |
| 0.2353 | 1.8002 | 33993 | 0.2819 |
| 0.2236 | 2.0002 | 37770 | 0.2784 |
| 0.2055 | 2.2002 | 41547 | 0.2898 |
| 0.2129 | 2.4003 | 45324 | 0.2687 |
| 0.2001 | 2.6003 | 49101 | 0.2719 |
| 0.2108 | 2.8003 | 52878 | 0.2714 |
| 0.2023 | 3.0003 | 56655 | 0.2650 |
| 0.1811 | 3.2003 | 60432 | 0.2709 |
| 0.1702 | 3.4004 | 64209 | 0.2655 |
| 0.176 | 3.6004 | 67986 | 0.2665 |
| 0.1702 | 3.8004 | 71763 | 0.2666 |
| 0.1597 | 4.0004 | 75540 | 0.2620 |
| 0.1388 | 4.2004 | 79317 | 0.2704 |
| 0.1452 | 4.4005 | 83094 | 0.2707 |
| 0.146 | 4.6005 | 86871 | 0.2705 |
| 0.1388 | 4.8005 | 90648 | 0.2622 |
| 0.1435 | 5.0005 | 94425 | 0.2649 |
| 0.1295 | 5.2006 | 98202 | 0.2794 |
| 0.1195 | 5.4006 | 101979 | 0.2780 |
| 0.124 | 5.6006 | 105756 | 0.2796 |
| 0.1183 | 5.8006 | 109533 | 0.2839 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |