gemma2_on_korean_conv-base-stm

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: beomi/gemma-ko-2b
+model-index:
+- name: gemma2_on_korean_conv-base-stm
+  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. -->
+
+# gemma2_on_korean_conv-base-stm
+
+This model is a fine-tuned version of [beomi/gemma-ko-2b](https://huggingface.co/beomi/gemma-ko-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1954
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 20
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4804        | 0.2563 | 100  | 1.4702          |
+| 1.3147        | 0.5126 | 200  | 1.3067          |
+| 1.2424        | 0.7688 | 300  | 1.2374          |
+| 1.0918        | 1.0251 | 400  | 1.1792          |
+| 0.9923        | 1.2814 | 500  | 1.1563          |
+| 0.9586        | 1.5377 | 600  | 1.1370          |
+| 0.9639        | 1.7940 | 700  | 1.1093          |
+| 0.7698        | 2.0502 | 800  | 1.1266          |
+| 0.7274        | 2.3065 | 900  | 1.1393          |
+| 0.7416        | 2.5628 | 1000 | 1.1022          |
+| 0.759         | 2.8191 | 1100 | 1.0903          |
+| 0.5755        | 3.0753 | 1200 | 1.1302          |
+| 0.5839        | 3.3316 | 1300 | 1.1443          |
+| 0.6008        | 3.5879 | 1400 | 1.1300          |
+| 0.5773        | 3.8442 | 1500 | 1.1326          |
+| 0.4565        | 4.1005 | 1600 | 1.1757          |
+| 0.4436        | 4.3567 | 1700 | 1.1832          |
+| 0.4462        | 4.6130 | 1800 | 1.1816          |
+| 0.4502        | 4.8693 | 1900 | 1.1878          |
+| 0.3731        | 5.1256 | 2000 | 1.1954          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "beomi/gemma-ko-2b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "v_proj",
+    "gate_proj",
+    "q_proj",
+    "up_proj",
+    "down_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 78480072

training_args.bin

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