File size: 2,113 Bytes
45fc7c8 6ee1c8b f4cd1d8 45fc7c8 6ee1c8b 45fc7c8 2531bb9 45fc7c8 5692f91 f4cd1d8 45fc7c8 |
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 |
---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task1-min_symbols_template_small-deepseek-coder-1.3b-base-fsdp
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-min_symbols_template_small-deepseek-coder-1.3b-base-fsdp
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: 0.1984
## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4383 | 0.2001 | 629 | 0.3292 |
| 0.322 | 0.4001 | 1258 | 0.2787 |
| 0.2868 | 0.6002 | 1887 | 0.2509 |
| 0.2489 | 0.8003 | 2516 | 0.2356 |
| 0.2363 | 1.0003 | 3145 | 0.2278 |
| 0.2192 | 1.2004 | 3774 | 0.2188 |
| 0.2116 | 1.4004 | 4403 | 0.2094 |
| 0.1985 | 1.6005 | 5032 | 0.2042 |
| 0.1961 | 1.8006 | 5661 | 0.1984 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |