End of training

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-customerSupport-finetune
+  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-customerSupport-finetune
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6550
+
+## 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: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8511        | 0.03  | 25   | 1.0647          |
+| 0.6109        | 0.06  | 50   | 1.0602          |
+| 0.6824        | 0.09  | 75   | 1.0368          |
+| 0.876         | 0.12  | 100  | 0.9630          |
+| 0.9261        | 0.15  | 125  | 0.9391          |
+| 0.8642        | 0.18  | 150  | 0.9180          |
+| 0.8901        | 0.21  | 175  | 0.9037          |
+| 0.9167        | 0.24  | 200  | 0.8685          |
+| 0.8831        | 0.27  | 225  | 0.8505          |
+| 0.7935        | 0.3   | 250  | 0.8341          |
+| 0.8635        | 0.33  | 275  | 0.8203          |
+| 0.7317        | 0.36  | 300  | 0.8052          |
+| 0.7195        | 0.39  | 325  | 0.7996          |
+| 0.8332        | 0.42  | 350  | 0.7847          |
+| 0.799         | 0.44  | 375  | 0.7733          |
+| 0.6985        | 0.47  | 400  | 0.7677          |
+| 0.7192        | 0.5   | 425  | 0.7594          |
+| 0.7391        | 0.53  | 450  | 0.7459          |
+| 0.6792        | 0.56  | 475  | 0.7312          |
+| 0.8249        | 0.59  | 500  | 0.7299          |
+| 0.6745        | 0.62  | 525  | 0.7193          |
+| 0.6625        | 0.65  | 550  | 0.7233          |
+| 0.5941        | 0.68  | 575  | 0.7132          |
+| 0.704         | 0.71  | 600  | 0.7072          |
+| 0.636         | 0.74  | 625  | 0.7002          |
+| 0.6401        | 0.77  | 650  | 0.6958          |
+| 0.773         | 0.8   | 675  | 0.6876          |
+| 0.5974        | 0.83  | 700  | 0.6840          |
+| 0.6062        | 0.86  | 725  | 0.6729          |
+| 0.5464        | 0.89  | 750  | 0.6664          |
+| 0.6384        | 0.92  | 775  | 0.6633          |
+| 0.6292        | 0.95  | 800  | 0.6594          |
+| 0.6629        | 0.98  | 825  | 0.6564          |
+| 0.6414        | 1.01  | 850  | 0.6524          |
+| 0.4689        | 1.04  | 875  | 0.6549          |
+| 0.3982        | 1.07  | 900  | 0.6627          |
+| 0.4089        | 1.1   | 925  | 0.6583          |
+| 0.4483        | 1.13  | 950  | 0.6566          |
+| 0.429         | 1.16  | 975  | 0.6555          |
+| 0.4088        | 1.19  | 1000 | 0.6550          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- 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": "mistralai/Mistral-7B-v0.1",
+  "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": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "o_proj",
+    "lm_head"
+  ],
+  "task_type": "CAUSAL_LM"
+}

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training_args.bin

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