End of training
Browse files- README.md +89 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- trainer_state.json +2381 -0
- training_args.bin +3 -0
README.md
ADDED
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1 |
+
---
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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-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base
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results: []
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---
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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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|
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# lemexp-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base
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|
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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: 0.1407
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## Model description
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More information needed
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|
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## Intended uses & limitations
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|
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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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|
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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: 0.0002
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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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- 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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- lr_scheduler_warmup_steps: 100
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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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| 0.3044 | 0.2000 | 5030 | 0.2924 |
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| 0.2643 | 0.4001 | 10060 | 0.2585 |
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| 0.2396 | 0.6001 | 15090 | 0.2310 |
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| 0.2277 | 0.8001 | 20120 | 0.2108 |
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| 0.2103 | 1.0002 | 25150 | 0.2088 |
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| 0.1942 | 1.2002 | 30180 | 0.2031 |
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| 0.1846 | 1.4002 | 35210 | 0.1955 |
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| 0.1814 | 1.6003 | 40240 | 0.1827 |
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| 0.1688 | 1.8003 | 45270 | 0.1789 |
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| 0.1772 | 2.0003 | 50300 | 0.1767 |
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| 0.143 | 2.2003 | 55330 | 0.1748 |
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| 0.1465 | 2.4004 | 60360 | 0.1691 |
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| 0.1517 | 2.6004 | 65390 | 0.1702 |
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| 0.1533 | 2.8004 | 70420 | 0.1651 |
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| 0.1412 | 3.0005 | 75450 | 0.1569 |
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| 0.1237 | 3.2005 | 80480 | 0.1581 |
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| 0.131 | 3.4005 | 85510 | 0.1561 |
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| 0.1221 | 3.6006 | 90540 | 0.1486 |
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| 0.1161 | 3.8006 | 95570 | 0.1464 |
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| 0.1165 | 4.0006 | 100600 | 0.1413 |
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| 0.0994 | 4.2007 | 105630 | 0.1458 |
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| 0.1113 | 4.4007 | 110660 | 0.1483 |
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| 0.0996 | 4.6007 | 115690 | 0.1426 |
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| 0.1116 | 4.8008 | 120720 | 0.1392 |
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| 0.1004 | 5.0008 | 125750 | 0.1380 |
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| 0.0814 | 5.2008 | 130780 | 0.1418 |
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| 0.086 | 5.4009 | 135810 | 0.1406 |
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| 0.0731 | 5.6009 | 140840 | 0.1416 |
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| 0.0807 | 5.8009 | 145870 | 0.1407 |
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|
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|
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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 sha256:38baa1f41db86fa4aee1dd13df4734ab711ee7225bcf68937c9ad7caa9a64115
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size 531035104
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trainer_state.json
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