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README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+| Step | Training Loss |
+|------|---------------|
+| 25   | 1.065300      |
+| 50   | 0.573700      |
+| 75   | 0.655200      |
+| 100  | 0.605700      |
+| 125  | 0.431100      |
+| 150  | 0.642100      |
+| 175  | 0.389200      |
+
+
+
+
+## Model Details
+
+Trained with 703 emails
+
+
+

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:8d5b884991e417cd8eb0be6a6c8f749a247c28a9134e6f32337ab91b0b7ad092
+size 369142184

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