lbruderer/rewrite-prompter

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/gemma-2b-it
+model-index:
+- name: outputs
+  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. -->
+
+# outputs
+
+This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0962
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.5696        | 0.93  | 7    | 2.3790          |
+| 1.7335        | 2.0   | 15   | 1.6733          |
+| 1.5583        | 2.93  | 22   | 1.5446          |
+| 1.1347        | 4.0   | 30   | 1.5097          |
+| 1.0502        | 4.93  | 37   | 1.5663          |
+| 0.7217        | 6.0   | 45   | 1.6769          |
+| 0.6408        | 6.93  | 52   | 1.8386          |
+| 0.43          | 8.0   | 60   | 1.9674          |
+| 0.391         | 8.93  | 67   | 2.0831          |
+| 0.2893        | 9.33  | 70   | 2.0962          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- 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-it",
+  "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": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:0ab9932d2c719060c2e340bbc8824131e6043bc2b73169b8f3891c456be97bea
+size 19644664

training_args.bin

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+oid sha256:ef4dc2bbde6e8f297f904e629b21f0cee74ba629a575d998755202935cd15478
+size 4856