gemma2b-ft-lora-sqladapters

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: other
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-2b
+datasets:
+- generator
+model-index:
+- name: gemma2bit-sql
+  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. -->
+
+# gemma2bit-sql
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7133
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 1399
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 10
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7834        | 0.02  | 5    | 1.5323          |
+| 1.383         | 0.04  | 10   | 1.1950          |
+| 1.1294        | 0.06  | 15   | 1.0211          |
+| 0.964         | 0.08  | 20   | 0.9335          |
+| 0.9112        | 0.09  | 25   | 0.8822          |
+| 0.8775        | 0.11  | 30   | 0.8455          |
+| 0.8375        | 0.13  | 35   | 0.8225          |
+| 0.8109        | 0.15  | 40   | 0.8011          |
+| 0.783         | 0.17  | 45   | 0.7862          |
+| 0.7784        | 0.19  | 50   | 0.7738          |
+| 0.7698        | 0.21  | 55   | 0.7625          |
+| 0.7627        | 0.23  | 60   | 0.7524          |
+| 0.7599        | 0.24  | 65   | 0.7461          |
+| 0.7482        | 0.26  | 70   | 0.7406          |
+| 0.7368        | 0.28  | 75   | 0.7338          |
+| 0.7407        | 0.3   | 80   | 0.7293          |
+| 0.7211        | 0.32  | 85   | 0.7243          |
+| 0.718         | 0.34  | 90   | 0.7214          |
+| 0.7187        | 0.36  | 95   | 0.7167          |
+| 0.7251        | 0.38  | 100  | 0.7133          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-2b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "v_proj",
+    "k_proj",
+    "down_proj",
+    "q_proj",
+    "o_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}

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