End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: meta-llama/Llama-2-7b-hf
+model-index:
+- name: llama_2_7b_Magiccoder_evol_downNupNgateNqNkNvNo_r8_lr0.0001_bg88_alpha8_0_41_reverseinit
+  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. -->
+
+# llama_2_7b_Magiccoder_evol_downNupNgateNqNkNvNo_r8_lr0.0001_bg88_alpha8_0_41_reverseinit
+
+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: 1.1235
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.02
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.2502        | 0.0203 | 31   | 1.2151          |
+| 1.1432        | 0.0405 | 62   | 1.1929          |
+| 1.1409        | 0.0608 | 93   | 1.1804          |
+| 1.1494        | 0.0810 | 124  | 1.1749          |
+| 1.1213        | 0.1013 | 155  | 1.1669          |
+| 1.1207        | 0.1215 | 186  | 1.1610          |
+| 1.1488        | 0.1418 | 217  | 1.1596          |
+| 1.1185        | 0.1620 | 248  | 1.1558          |
+| 1.1321        | 0.1823 | 279  | 1.1539          |
+| 1.1031        | 0.2025 | 310  | 1.1509          |
+| 1.0976        | 0.2228 | 341  | 1.1506          |
+| 1.1203        | 0.2431 | 372  | 1.1452          |
+| 1.1118        | 0.2633 | 403  | 1.1472          |
+| 1.1198        | 0.2836 | 434  | 1.1451          |
+| 1.1149        | 0.3038 | 465  | 1.1436          |
+| 1.1028        | 0.3241 | 496  | 1.1390          |
+| 1.1137        | 0.3443 | 527  | 1.1387          |
+| 1.1014        | 0.3646 | 558  | 1.1381          |
+| 1.1078        | 0.3848 | 589  | 1.1378          |
+| 1.0852        | 0.4051 | 620  | 1.1369          |
+| 1.1071        | 0.4254 | 651  | 1.1370          |
+| 1.1182        | 0.4456 | 682  | 1.1350          |
+| 1.102         | 0.4659 | 713  | 1.1343          |
+| 1.104         | 0.4861 | 744  | 1.1336          |
+| 1.0855        | 0.5064 | 775  | 1.1333          |
+| 1.083         | 0.5266 | 806  | 1.1305          |
+| 1.0745        | 0.5469 | 837  | 1.1311          |
+| 1.0763        | 0.5671 | 868  | 1.1295          |
+| 1.0901        | 0.5874 | 899  | 1.1296          |
+| 1.1007        | 0.6076 | 930  | 1.1293          |
+| 1.0832        | 0.6279 | 961  | 1.1286          |
+| 1.0931        | 0.6482 | 992  | 1.1261          |
+| 1.0848        | 0.6684 | 1023 | 1.1264          |
+| 1.1041        | 0.6887 | 1054 | 1.1263          |
+| 1.0906        | 0.7089 | 1085 | 1.1244          |
+| 1.0847        | 0.7292 | 1116 | 1.1257          |
+| 1.0761        | 0.7494 | 1147 | 1.1249          |
+| 1.0949        | 0.7697 | 1178 | 1.1243          |
+| 1.0956        | 0.7899 | 1209 | 1.1240          |
+| 1.0814        | 0.8102 | 1240 | 1.1240          |
+| 1.0919        | 0.8304 | 1271 | 1.1242          |
+| 1.0858        | 0.8507 | 1302 | 1.1240          |
+| 1.0784        | 0.8710 | 1333 | 1.1238          |
+| 1.0816        | 0.8912 | 1364 | 1.1236          |
+| 1.0918        | 0.9115 | 1395 | 1.1233          |
+| 1.1           | 0.9317 | 1426 | 1.1235          |
+| 1.0551        | 0.9520 | 1457 | 1.1234          |
+| 1.0643        | 0.9722 | 1488 | 1.1235          |
+| 1.0921        | 0.9925 | 1519 | 1.1235          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.19.1

adapter_config.json

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+  "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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+  "lora_alpha": 8,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
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+    "v_proj",
+    "q_proj",
+    "down_proj",
+    "gate_proj",
+    "o_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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+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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