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README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: model_output
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# model_output
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6558
+
+## 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: 4
+- eval_batch_size: 4
+- 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_steps: 100
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8594        | 0.11  | 20   | 0.8079          |
+| 0.7572        | 0.22  | 40   | 0.7334          |
+| 0.7202        | 0.33  | 60   | 0.7059          |
+| 0.6849        | 0.44  | 80   | 0.6899          |
+| 0.7245        | 0.55  | 100  | 0.6865          |
+| 0.6738        | 0.66  | 120  | 0.6752          |
+| 0.703         | 0.77  | 140  | 0.6705          |
+| 0.6725        | 0.87  | 160  | 0.6702          |
+| 0.6976        | 0.98  | 180  | 0.6617          |
+| 0.6018        | 1.09  | 200  | 0.6663          |
+| 0.6093        | 1.2   | 220  | 0.6593          |
+| 0.6167        | 1.31  | 240  | 0.6611          |
+| 0.6128        | 1.42  | 260  | 0.6611          |
+| 0.6098        | 1.53  | 280  | 0.6590          |
+| 0.6463        | 1.64  | 300  | 0.6568          |
+| 0.6174        | 1.75  | 320  | 0.6534          |
+| 0.5943        | 1.86  | 340  | 0.6519          |
+| 0.602         | 1.97  | 360  | 0.6516          |
+| 0.5815        | 2.08  | 380  | 0.6540          |
+| 0.5496        | 2.19  | 400  | 0.6576          |
+| 0.5597        | 2.3   | 420  | 0.6609          |
+| 0.5433        | 2.4   | 440  | 0.6691          |
+| 0.5498        | 2.51  | 460  | 0.6742          |
+| 0.5418        | 2.62  | 480  | 0.6684          |
+| 0.5337        | 2.73  | 500  | 0.6672          |
+| 0.5045        | 2.84  | 520  | 0.6553          |
+| 0.5659        | 2.95  | 540  | 0.6558          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": [
+    "embed_tokens",
+    "lm_head"
+  ],
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "k_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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added_tokens.json

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config.json

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+{
+  "_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "architectures": [
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+  "torch_dtype": "float16",
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+}

runs/Nov29_17-34-31_8085f7d2ae17/events.out.tfevents.1701279271.8085f7d2ae17.24847.0

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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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+  "legacy": false,
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+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": true,
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+  "use_default_system_prompt": false,
+  "use_fast": true
+}