Model save

README.md

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+---
+library_name: peft
+license: other
+base_model: deepseek-ai/deepseek-coder-6.7b-base
+tags:
+- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: deepseek-coder-arc-agi-finetuned
+  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. -->
+
+# deepseek-coder-arc-agi-finetuned
+
+This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2030
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3396        | 0.4124 | 25   | 0.2842          |
+| 0.2705        | 0.8247 | 50   | 0.2460          |
+| 0.2194        | 1.2474 | 75   | 0.2340          |
+| 0.2227        | 1.6598 | 100  | 0.2233          |
+| 0.2913        | 2.0825 | 125  | 0.2158          |
+| 0.2334        | 2.4948 | 150  | 0.2065          |
+| 0.1901        | 2.9072 | 175  | 0.2030          |
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Datasets 4.1.1
+- Tokenizers 0.21.1

adapter_model.safetensors

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 size 639691872

special_tokens_map.json

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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+}