hawks23/amadeus_ai_v1

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ
+model-index:
+- name: amadeus_v1
+  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. -->
+
+# amadeus_v1
+
+This model is a fine-tuned version of [TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ](https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5349
+
+## 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: 0.002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4924        | 1.0   | 75   | 3.2433          |
+| 3.1246        | 2.0   | 150  | 3.2148          |
+| 2.8655        | 3.0   | 225  | 3.2529          |
+| 2.6201        | 4.0   | 300  | 3.3286          |
+| 2.4044        | 5.0   | 375  | 3.4331          |
+| 2.2106        | 6.0   | 450  | 3.5828          |
+| 2.0348        | 7.0   | 525  | 3.7128          |
+| 1.9341        | 8.0   | 600  | 3.7719          |
+| 1.7997        | 9.0   | 675  | 3.8238          |
+| 1.7071        | 10.0  | 750  | 3.9716          |
+| 1.6537        | 11.0  | 825  | 4.0883          |
+| 1.5708        | 12.0  | 900  | 4.1066          |
+| 1.5302        | 13.0  | 975  | 4.1778          |
+| 1.4895        | 14.0  | 1050 | 4.2198          |
+| 1.4586        | 15.0  | 1125 | 4.2890          |
+| 1.4211        | 16.0  | 1200 | 4.3352          |
+| 1.3721        | 17.0  | 1275 | 4.4004          |
+| 1.3637        | 18.0  | 1350 | 4.4707          |
+| 1.3597        | 19.0  | 1425 | 4.5228          |
+| 1.3362        | 20.0  | 1500 | 4.5349          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+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": "TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 8397056

runs/Apr15_11-38-56_38d577fa4b6c/events.out.tfevents.1713181190.38d577fa4b6c.248.0

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training_args.bin

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