End of training

README.md

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+---
+license: openrail
+base_model: bofenghuang/vigogne-33b-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: PointCon-vigogne-33b-instruct-3
+  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. -->
+
+# PointCon-vigogne-33b-instruct-3
+
+This model is a fine-tuned version of [bofenghuang/vigogne-33b-instruct](https://huggingface.co/bofenghuang/vigogne-33b-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8266
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0831        | 0.24  | 30   | 1.9738          |
+| 1.9472        | 0.48  | 60   | 1.8989          |
+| 1.8874        | 0.73  | 90   | 1.8626          |
+| 1.8311        | 0.97  | 120  | 1.8403          |
+| 1.7394        | 1.21  | 150  | 1.8423          |
+| 1.6894        | 1.45  | 180  | 1.8373          |
+| 1.6351        | 1.69  | 210  | 1.8295          |
+| 1.7245        | 1.94  | 240  | 1.8266          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "bofenghuang/vigogne-33b-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "q_proj",
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "v_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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training_args.bin

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