Model save

README.md

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+---
+license: llama2
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: squad_qa_title_v5_full_add3_meta-llama_Llama-2-7b-hf_3e-5_lora
+  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. -->
+
+# squad_qa_title_v5_full_add3_meta-llama_Llama-2-7b-hf_3e-5_lora
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2280
+- Accuracy: 0.6805
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 50.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4938        | 1.0   | 158  | 1.2449          | 0.6971   |
+| 1.1222        | 2.0   | 317  | 1.2146          | 0.6904   |
+| 0.9588        | 3.0   | 476  | 1.1494          | 0.7081   |
+| 0.6516        | 4.0   | 635  | 1.1579          | 0.7004   |
+| 0.5382        | 5.0   | 793  | 1.1923          | 0.7003   |
+| 0.3783        | 6.0   | 952  | 1.2099          | 0.7042   |
+| 0.2976        | 7.0   | 1111 | 1.2805          | 0.7016   |
+| 0.2588        | 8.0   | 1270 | 1.3570          | 0.6936   |
+| 0.221         | 9.0   | 1428 | 1.4097          | 0.6954   |
+| 0.2046        | 10.0  | 1587 | 1.4708          | 0.6884   |
+| 0.1747        | 11.0  | 1746 | 1.5390          | 0.6966   |
+| 0.1595        | 12.0  | 1905 | 1.6042          | 0.6928   |
+| 0.1484        | 13.0  | 2063 | 1.7245          | 0.6913   |
+| 0.1418        | 14.0  | 2222 | 1.7843          | 0.6914   |
+| 0.1352        | 15.0  | 2381 | 1.7591          | 0.6918   |
+| 0.1332        | 16.0  | 2540 | 1.7855          | 0.6915   |
+| 0.124         | 17.0  | 2698 | 1.8559          | 0.6845   |
+| 0.1216        | 18.0  | 2857 | 1.7711          | 0.6939   |
+| 0.1212        | 19.0  | 3016 | 1.8782          | 0.6892   |
+| 0.1201        | 20.0  | 3175 | 1.8749          | 0.6939   |
+| 0.116         | 21.0  | 3333 | 1.9779          | 0.6873   |
+| 0.1178        | 22.0  | 3492 | 1.8992          | 0.6871   |
+| 0.1126        | 23.0  | 3651 | 1.9506          | 0.6910   |
+| 0.1157        | 24.0  | 3810 | 1.9331          | 0.6891   |
+| 0.1101        | 25.0  | 3968 | 2.0093          | 0.6890   |
+| 0.1091        | 26.0  | 4127 | 1.9804          | 0.6802   |
+| 0.1059        | 27.0  | 4286 | 2.0450          | 0.6907   |
+| 0.1089        | 28.0  | 4445 | 1.9597          | 0.6895   |
+| 0.1106        | 29.0  | 4603 | 2.0416          | 0.6848   |
+| 0.1072        | 30.0  | 4762 | 2.0787          | 0.6833   |
+| 0.1092        | 31.0  | 4921 | 1.9773          | 0.6868   |
+| 0.1096        | 32.0  | 5080 | 2.0183          | 0.6881   |
+| 0.1077        | 33.0  | 5238 | 2.1192          | 0.6885   |
+| 0.1065        | 34.0  | 5397 | 2.0604          | 0.6801   |
+| 0.107         | 35.0  | 5556 | 2.0040          | 0.6794   |
+| 0.1063        | 36.0  | 5715 | 2.0488          | 0.6826   |
+| 0.1088        | 37.0  | 5873 | 2.1437          | 0.6851   |
+| 0.1041        | 38.0  | 6032 | 2.1194          | 0.6847   |
+| 0.1053        | 39.0  | 6191 | 2.1010          | 0.6840   |
+| 0.1062        | 40.0  | 6350 | 2.1417          | 0.6797   |
+| 0.1052        | 41.0  | 6508 | 2.1034          | 0.6847   |
+| 0.1061        | 42.0  | 6667 | 2.0156          | 0.6833   |
+| 0.1043        | 43.0  | 6826 | 2.1744          | 0.6825   |
+| 0.1039        | 44.0  | 6985 | 2.1533          | 0.6847   |
+| 0.1059        | 45.0  | 7143 | 2.1866          | 0.6836   |
+| 0.1062        | 46.0  | 7302 | 2.1303          | 0.6800   |
+| 0.1023        | 47.0  | 7461 | 2.1316          | 0.6850   |
+| 0.1056        | 48.0  | 7620 | 2.1523          | 0.6809   |
+| 0.1035        | 49.0  | 7778 | 2.2397          | 0.6815   |
+| 0.1029        | 49.76 | 7900 | 2.2280          | 0.6805   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "down_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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added_tokens.json

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+  "<s>": 1,
+  "<unk>": 0
+}

special_tokens_map.json

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+{
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+  "eos_token": "</s>",
+  "pad_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.model

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tokenizer_config.json

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+  "added_tokens_decoder": {
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+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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