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: SBIC-mistralai-Mistral-7B-v0.1-intra-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. -->
+
+# SBIC-mistralai-Mistral-7B-v0.1-intra-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: 0.5520
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.4802        | 0.04  | 31   | 2.4091          |
+| 2.2997        | 1.04  | 62   | 2.2583          |
+| 2.1019        | 2.04  | 93   | 2.0836          |
+| 1.8498        | 3.04  | 124  | 1.8917          |
+| 1.6275        | 4.04  | 155  | 1.7154          |
+| 1.4091        | 5.04  | 186  | 1.5379          |
+| 1.2361        | 6.04  | 217  | 1.3779          |
+| 1.087         | 7.04  | 248  | 1.2654          |
+| 0.9664        | 8.04  | 279  | 1.1340          |
+| 0.8312        | 9.04  | 310  | 1.0311          |
+| 0.7554        | 10.04 | 341  | 0.9393          |
+| 0.6873        | 11.04 | 372  | 0.8599          |
+| 0.6292        | 12.04 | 403  | 0.7976          |
+| 0.5822        | 13.04 | 434  | 0.7410          |
+| 0.5453        | 14.04 | 465  | 0.6989          |
+| 0.5115        | 15.04 | 496  | 0.6611          |
+| 0.4778        | 16.04 | 527  | 0.6292          |
+| 0.4527        | 17.04 | 558  | 0.6054          |
+| 0.4474        | 18.04 | 589  | 0.5882          |
+| 0.4285        | 19.04 | 620  | 0.5740          |
+| 0.4193        | 20.04 | 651  | 0.5642          |
+| 0.4061        | 21.04 | 682  | 0.5583          |
+| 0.4044        | 22.04 | 713  | 0.5544          |
+| 0.4           | 23.04 | 744  | 0.5524          |
+| 0.4029        | 24.04 | 775  | 0.5520          |
+| 0.3973        | 25.04 | 806  | 0.5520          |
+| 0.3977        | 26.04 | 837  | 0.5520          |
+| 0.3947        | 27.04 | 868  | 0.5520          |
+| 0.3983        | 28.04 | 899  | 0.5520          |
+| 0.3934        | 29.04 | 930  | 0.5520          |
+| 0.3977        | 30.04 | 961  | 0.5520          |
+| 0.4022        | 31.04 | 992  | 0.5520          |
+
+
+### 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,
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+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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