End of training
Browse files- README.md +93 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- loss_plot.png +0 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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license: other
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base_model: deepseek-ai/deepseek-coder-1.3b-base
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tags:
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- generated_from_trainer
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model-index:
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- name: lemexp-task1-v2-template_full_nodefs-deepseek-coder-1.3b-base-ddp-8lr-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# lemexp-task1-v2-template_full_nodefs-deepseek-coder-1.3b-base-ddp-8lr-v2
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.1511
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0008
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 16
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 6
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2738 | 0.2 | 3094 | 0.2743 |
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| 0.2543 | 0.4 | 6188 | 0.2529 |
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| 0.2473 | 0.6 | 9282 | 0.2452 |
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| 0.2395 | 0.8 | 12376 | 0.2414 |
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| 0.236 | 1.0 | 15470 | 0.2337 |
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| 0.227 | 1.2 | 18564 | 0.2317 |
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| 0.2256 | 1.4 | 21658 | 0.2184 |
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| 0.2178 | 1.6 | 24752 | 0.2154 |
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| 0.2172 | 1.8 | 27846 | 0.2153 |
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| 0.2107 | 2.0 | 30940 | 0.2135 |
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| 0.2048 | 2.2 | 34034 | 0.2110 |
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| 0.2022 | 2.4 | 37128 | 0.2038 |
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| 0.1967 | 2.6 | 40222 | 0.1990 |
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| 0.1947 | 2.8 | 43316 | 0.1957 |
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| 0.1923 | 3.0 | 46410 | 0.1944 |
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| 0.1841 | 3.2 | 49504 | 0.1878 |
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| 0.1831 | 3.4 | 52598 | 0.1876 |
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| 0.179 | 3.6 | 55692 | 0.1844 |
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| 0.1766 | 3.8 | 58786 | 0.1808 |
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| 0.1753 | 4.0 | 61880 | 0.1750 |
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| 0.1652 | 4.2 | 64974 | 0.1735 |
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| 0.1631 | 4.4 | 68068 | 0.1686 |
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| 0.1584 | 4.6 | 71162 | 0.1662 |
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| 0.1534 | 4.8 | 74256 | 0.1632 |
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| 0.1523 | 5.0 | 77350 | 0.1608 |
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| 0.1445 | 5.2 | 80444 | 0.1576 |
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| 0.1429 | 5.4 | 83538 | 0.1574 |
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| 0.1408 | 5.6 | 86632 | 0.1549 |
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| 0.1383 | 5.8 | 89726 | 0.1527 |
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| 0.1361 | 6.0 | 92820 | 0.1511 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:55ed00ae722b9b8d87dedad60834b14e0735e50254f98e9349553453882d4074
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size 268636736
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loss_plot.png
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a3c5a4303b651a77e4529d53946154de2124ed20038489bebe7a7094e2d3e4a
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size 5432
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