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-intra-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-intra-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: 0.4592
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0658        | 0.02  | 69   | 1.0451          |
+| 0.8013        | 1.02  | 138  | 0.7708          |
+| 0.5397        | 2.02  | 207  | 0.5880          |
+| 0.4436        | 3.02  | 276  | 0.4895          |
+| 0.3979        | 4.02  | 345  | 0.4425          |
+| 0.3844        | 5.02  | 414  | 0.4116          |
+| 0.3485        | 6.02  | 483  | 0.4046          |
+| 0.3338        | 7.02  | 552  | 0.3989          |
+| 0.3093        | 8.02  | 621  | 0.3904          |
+| 0.3005        | 9.02  | 690  | 0.4010          |
+| 0.271         | 10.02 | 759  | 0.3991          |
+| 0.2627        | 11.02 | 828  | 0.4491          |
+| 0.2217        | 12.02 | 897  | 0.4592          |
+
+
+### 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": [
+    "v_proj",
+    "q_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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+      "normalized": false,
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+      "special": true
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
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+  "pad_token": "</s>",
+  "padding_side": "left",
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+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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