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lemexp-task1-min_symbols_template_small-deepseek-coder-1.3b-base-fsdp
yalhessi/lemexp-task1-min_symbols_template_small-deepseek-coder-1.3b-base-fsdp
lemexp-task1-min_symbols_template_small-deepseek-coder-1.3b-base-fsdp is a machine learning model from yalhessi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025
- SHA
- f4cd1d8d
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- peft
- License
- other
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025