thomnis/Mistral-7B-Instruct-v0.2-GPTQ-LoRA-shawgpt-ft

README.md

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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: shawgpt-ft
+  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. -->
+
+# shawgpt-ft
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3500
+
+## 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: 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.586         | 0.9231 | 3    | 4.0840          |
+| 4.5009        | 1.8462 | 6    | 3.6764          |
+| 3.4299        | 2.7692 | 9    | 2.6573          |
+| 1.7931        | 4.0    | 13   | 1.7660          |
+| 1.6827        | 4.9231 | 16   | 1.4734          |
+| 1.4268        | 5.8462 | 19   | 1.4157          |
+| 1.3165        | 6.7692 | 22   | 1.3744          |
+| 0.9644        | 8.0    | 26   | 1.3551          |
+| 1.2523        | 8.9231 | 29   | 1.3501          |
+| 0.8941        | 9.2308 | 30   | 1.3500          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

adapter_config.json

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+  "auto_mapping": null,
+  "base_model_name_or_path": null,
+  "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": [
+    "q_proj",
+    "v_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Oct15_16-16-04_f1468e488fd9/events.out.tfevents.1729008969.f1468e488fd9.861.0

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training_args.bin

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