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: SChem5Labels-mistralai-Mistral-7B-v0.1-inter-dataset-frequency-model-pairwise-mse-cycle1
+  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. -->
+
+# SChem5Labels-mistralai-Mistral-7B-v0.1-inter-dataset-frequency-model-pairwise-mse-cycle1
+
+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: 0.4913
+
+## 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: 0.0001
+- 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: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0618        | 0.02  | 69   | 1.0339          |
+| 0.7935        | 1.02  | 138  | 0.7594          |
+| 0.5315        | 2.02  | 207  | 0.5753          |
+| 0.4378        | 3.02  | 276  | 0.4896          |
+| 0.388         | 4.02  | 345  | 0.4429          |
+| 0.3829        | 5.02  | 414  | 0.4113          |
+| 0.3528        | 6.02  | 483  | 0.4034          |
+| 0.3329        | 7.02  | 552  | 0.3958          |
+| 0.3117        | 8.02  | 621  | 0.3946          |
+| 0.3141        | 9.02  | 690  | 0.3906          |
+| 0.2732        | 10.02 | 759  | 0.3971          |
+| 0.2638        | 11.02 | 828  | 0.4242          |
+| 0.2313        | 12.02 | 897  | 0.4540          |
+| 0.1666        | 13.02 | 966  | 0.4913          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+  "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,
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+  "bos_token": "<s>",
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+  "padding_side": "left",
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+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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