End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+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 [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3909
+
+## 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7212        | 0.92  | 3    | 1.5434          |
+| 1.4475        | 1.85  | 6    | 1.4012          |
+| 1.3078        | 2.77  | 9    | 1.3524          |
+| 0.9281        | 4.0   | 13   | 1.3281          |
+| 1.2403        | 4.92  | 16   | 1.3273          |
+| 1.2006        | 5.85  | 19   | 1.3225          |
+| 1.126         | 6.77  | 22   | 1.3246          |
+| 0.8129        | 8.0   | 26   | 1.3236          |
+| 1.052         | 8.92  | 29   | 1.3281          |
+| 1.0153        | 9.85  | 32   | 1.3262          |
+| 0.9963        | 10.77 | 35   | 1.3315          |
+| 0.7424        | 12.0  | 39   | 1.3389          |
+| 0.937         | 12.92 | 42   | 1.3509          |
+| 0.9203        | 13.85 | 45   | 1.3569          |
+| 0.8923        | 14.77 | 48   | 1.3796          |
+| 0.6622        | 16.0  | 52   | 1.3736          |
+| 0.8592        | 16.92 | 55   | 1.3812          |
+| 0.8636        | 17.85 | 58   | 1.3903          |
+| 0.5605        | 18.46 | 60   | 1.3909          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.38.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 8397056

training_args.bin

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