rreit/mistral-7B-Instruct-prompt

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: mistral-7B-Instruct-prompt
+  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. -->
+
+# mistral-7B-Instruct-prompt
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0962
+
+## 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: 0.0004
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 100
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.745         | 0.75  | 100  | 0.8404          |
+| 0.5396        | 1.5   | 200  | 0.6313          |
+| 0.3702        | 2.26  | 300  | 0.4994          |
+| 0.3676        | 3.01  | 400  | 0.4106          |
+| 0.3623        | 3.76  | 500  | 0.3409          |
+| 0.2239        | 4.51  | 600  | 0.2893          |
+| 0.1719        | 5.26  | 700  | 0.2405          |
+| 0.1971        | 6.02  | 800  | 0.1866          |
+| 0.1446        | 6.77  | 900  | 0.1591          |
+| 0.1066        | 7.52  | 1000 | 0.1381          |
+| 0.0866        | 8.27  | 1100 | 0.1193          |
+| 0.0701        | 9.02  | 1200 | 0.1061          |
+| 0.0641        | 9.77  | 1300 | 0.1017          |
+| 0.0511        | 10.53 | 1400 | 0.0958          |
+| 0.0407        | 11.28 | 1500 | 0.0963          |
+| 0.0332        | 12.03 | 1600 | 0.0938          |
+| 0.0268        | 12.78 | 1700 | 0.0952          |
+| 0.0251        | 13.53 | 1800 | 0.0961          |
+| 0.023         | 14.29 | 1900 | 0.0961          |
+| 0.0219        | 15.04 | 2000 | 0.0962          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 16,
+  "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": [
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
+size 48

training_args.bin

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