End of training

README.md

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+---
+license: llama2
+base_model: bofenghuang/vigogne-2-70b-chat
+tags:
+- generated_from_trainer
+model-index:
+- name: PointCon-vigogne-2-70b-chat-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-2-70b-chat-3
+
+This model is a fine-tuned version of [bofenghuang/vigogne-2-70b-chat](https://huggingface.co/bofenghuang/vigogne-2-70b-chat) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5719
+
+## 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8556        | 0.05  | 30   | 1.7646          |
+| 1.6805        | 0.1   | 60   | 1.6982          |
+| 1.646         | 0.15  | 90   | 1.6679          |
+| 1.5978        | 0.19  | 120  | 1.6567          |
+| 1.6003        | 0.24  | 150  | 1.6437          |
+| 1.5975        | 0.29  | 180  | 1.6339          |
+| 1.5917        | 0.34  | 210  | 1.6264          |
+| 1.5579        | 0.39  | 240  | 1.6111          |
+| 1.5888        | 0.44  | 270  | 1.6022          |
+| 1.5763        | 0.49  | 300  | 1.5966          |
+| 1.5102        | 0.54  | 330  | 1.5938          |
+| 1.5611        | 0.58  | 360  | 1.5877          |
+| 1.6063        | 0.63  | 390  | 1.5869          |
+| 1.5641        | 0.68  | 420  | 1.5870          |
+| 1.5615        | 0.73  | 450  | 1.5808          |
+| 1.4644        | 0.78  | 480  | 1.5761          |
+| 1.4924        | 0.83  | 510  | 1.5750          |
+| 1.5644        | 0.88  | 540  | 1.5735          |
+| 1.5498        | 0.93  | 570  | 1.5726          |
+| 1.5179        | 0.97  | 600  | 1.5719          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "bofenghuang/vigogne-2-70b-chat",
+  "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": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "up_proj",
+    "embed_tokens",
+    "q_proj",
+    "lm_head",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 1662047456

training_args.bin

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