Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: customer_care_dialog_summary_mistral_7b_v01
+  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. -->
+
+# customer_care_dialog_summary_mistral_7b_v01
+
+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: 2.7532
+
+## 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: 2
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4911        | 1.0   | 440  | 1.4406          |
+| 1.2804        | 2.0   | 880  | 1.4238          |
+| 1.1227        | 3.0   | 1320 | 1.4405          |
+| 0.9587        | 4.0   | 1760 | 1.5268          |
+| 0.7938        | 5.0   | 2200 | 1.6386          |
+| 0.6293        | 6.0   | 2640 | 1.7836          |
+| 0.4842        | 7.0   | 3080 | 1.9850          |
+| 0.3636        | 8.0   | 3520 | 2.2857          |
+| 0.2749        | 9.0   | 3960 | 2.4895          |
+| 0.2076        | 10.0  | 4400 | 2.7532          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- 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": 32,
+  "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": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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runs/Feb11_15-20-17_ecs-4a46/events.out.tfevents.1707651011.ecs-4a46.3355529.0

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runs/Feb11_15-41-28_ecs-4a46/events.out.tfevents.1707651719.ecs-4a46.3365533.0

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training_args.bin

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