lillybak/llama2-instruct-tune-500.v1

README.md

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+---
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: NousResearch/Llama-2-7b-hf
+model-index:
+- name: output_llama2_instruct
+  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. -->
+
+# output_llama2_instruct
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6746
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 20
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9193        | 0.0   | 20   | 1.8124          |
+| 1.8847        | 0.01  | 40   | 1.7835          |
+| 1.813         | 0.01  | 60   | 1.7710          |
+| 1.9026        | 0.01  | 80   | 1.7605          |
+| 1.8352        | 0.01  | 100  | 1.7449          |
+| 1.7327        | 0.02  | 120  | 1.7100          |
+| 1.8625        | 0.02  | 140  | 1.7055          |
+| 1.9379        | 0.02  | 160  | 1.7008          |
+| 1.8597        | 0.02  | 180  | 1.6971          |
+| 1.8703        | 0.03  | 200  | 1.6943          |
+| 1.7749        | 0.03  | 220  | 1.6902          |
+| 1.7645        | 0.03  | 240  | 1.6898          |
+| 1.7894        | 0.04  | 260  | 1.6886          |
+| 1.8492        | 0.04  | 280  | 1.6870          |
+| 1.7331        | 0.04  | 300  | 1.6841          |
+| 1.7278        | 0.04  | 320  | 1.6830          |
+| 1.6963        | 0.05  | 340  | 1.6826          |
+| 1.8226        | 0.05  | 360  | 1.6813          |
+| 1.8246        | 0.05  | 380  | 1.6797          |
+| 1.8577        | 0.05  | 400  | 1.6778          |
+| 1.6691        | 0.06  | 420  | 1.6779          |
+| 1.7001        | 0.06  | 440  | 1.6774          |
+| 1.9008        | 0.06  | 460  | 1.6770          |
+| 1.7856        | 0.07  | 480  | 1.6733          |
+| 1.7674        | 0.07  | 500  | 1.6746          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "NousResearch/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,
+  "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_rslora": false
+}

adapter_model.safetensors

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runs/Feb08_06-57-55_60adb62959b1/events.out.tfevents.1707375857.60adb62959b1.747.0

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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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+{
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+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
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+      "special": true
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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