End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-7b-autextification2024
+  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-7b-autextification2024
+
+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: 1.6422
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4251        | 0.0   | 10   | 1.7924          |
+| 1.3175        | 0.01  | 20   | 1.7542          |
+| 1.7841        | 0.01  | 30   | 1.7322          |
+| 2.0421        | 0.01  | 40   | 1.7294          |
+| 2.669         | 0.02  | 50   | 1.7471          |
+| 1.314         | 0.02  | 60   | 1.7153          |
+| 1.4678        | 0.02  | 70   | 1.6989          |
+| 1.7679        | 0.03  | 80   | 1.6928          |
+| 2.0057        | 0.03  | 90   | 1.7002          |
+| 2.5086        | 0.03  | 100  | 1.7053          |
+| 1.3326        | 0.04  | 110  | 1.6931          |
+| 1.3984        | 0.04  | 120  | 1.6823          |
+| 1.8045        | 0.04  | 130  | 1.6807          |
+| 1.8764        | 0.05  | 140  | 1.6812          |
+| 2.5524        | 0.05  | 150  | 1.6825          |
+| 1.2854        | 0.05  | 160  | 1.6766          |
+| 1.3712        | 0.06  | 170  | 1.6709          |
+| 1.8211        | 0.06  | 180  | 1.6660          |
+| 2.0365        | 0.06  | 190  | 1.6778          |
+| 2.4664        | 0.07  | 200  | 1.6938          |
+| 1.3405        | 0.07  | 210  | 1.6712          |
+| 1.3856        | 0.07  | 220  | 1.6666          |
+| 1.5553        | 0.08  | 230  | 1.6586          |
+| 1.8616        | 0.08  | 240  | 1.6613          |
+| 2.4064        | 0.09  | 250  | 1.6666          |
+| 1.3446        | 0.09  | 260  | 1.6681          |
+| 1.386         | 0.09  | 270  | 1.6645          |
+| 1.6508        | 0.1   | 280  | 1.6582          |
+| 1.8588        | 0.1   | 290  | 1.6600          |
+| 2.3148        | 0.1   | 300  | 1.6524          |
+| 1.2785        | 0.11  | 310  | 1.6549          |
+| 1.2727        | 0.11  | 320  | 1.6517          |
+| 1.5971        | 0.11  | 330  | 1.6486          |
+| 1.7811        | 0.12  | 340  | 1.6540          |
+| 2.3368        | 0.12  | 350  | 1.6596          |
+| 1.2513        | 0.12  | 360  | 1.6578          |
+| 1.4403        | 0.13  | 370  | 1.6429          |
+| 1.8051        | 0.13  | 380  | 1.6462          |
+| 1.8214        | 0.13  | 390  | 1.6469          |
+| 2.4691        | 0.14  | 400  | 1.6654          |
+| 1.2895        | 0.14  | 410  | 1.6543          |
+| 1.3192        | 0.14  | 420  | 1.6435          |
+| 1.7031        | 0.15  | 430  | 1.6438          |
+| 1.8647        | 0.15  | 440  | 1.6402          |
+| 2.398         | 0.15  | 450  | 1.6444          |
+| 1.3195        | 0.16  | 460  | 1.6445          |
+| 1.4008        | 0.16  | 470  | 1.6407          |
+| 1.6925        | 0.16  | 480  | 1.6380          |
+| 1.8432        | 0.17  | 490  | 1.6396          |
+| 2.5103        | 0.17  | 500  | 1.6422          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 109069176

special_tokens_map.json

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+    "content": "<s>",
+    "lstrip": false,
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+  "unk_token": {
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+    "lstrip": false,
+    "normalized": false,
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tokenizer.model

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": 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,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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