End of training

README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+library_name: peft
+license: llama3
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0589
+
+## 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: 8e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 100  | 0.3525          |
+| No log        | 2.0   | 200  | 0.3112          |
+| No log        | 3.0   | 300  | 0.2998          |
+| No log        | 4.0   | 400  | 0.2830          |
+| 0.6117        | 5.0   | 500  | 0.2682          |
+| 0.6117        | 6.0   | 600  | 0.2514          |
+| 0.6117        | 7.0   | 700  | 0.2319          |
+| 0.6117        | 8.0   | 800  | 0.2051          |
+| 0.6117        | 9.0   | 900  | 0.1846          |
+| 0.2327        | 10.0  | 1000 | 0.1573          |
+| 0.2327        | 11.0  | 1100 | 0.1433          |
+| 0.2327        | 12.0  | 1200 | 0.1249          |
+| 0.2327        | 13.0  | 1300 | 0.1147          |
+| 0.2327        | 14.0  | 1400 | 0.1047          |
+| 0.1381        | 15.0  | 1500 | 0.1016          |
+| 0.1381        | 16.0  | 1600 | 0.0958          |
+| 0.1381        | 17.0  | 1700 | 0.0903          |
+| 0.1381        | 18.0  | 1800 | 0.0844          |
+| 0.1381        | 19.0  | 1900 | 0.0821          |
+| 0.0958        | 20.0  | 2000 | 0.0808          |
+| 0.0958        | 21.0  | 2100 | 0.0743          |
+| 0.0958        | 22.0  | 2200 | 0.0722          |
+| 0.0958        | 23.0  | 2300 | 0.0690          |
+| 0.0958        | 24.0  | 2400 | 0.0666          |
+| 0.0758        | 25.0  | 2500 | 0.0642          |
+| 0.0758        | 26.0  | 2600 | 0.0620          |
+| 0.0758        | 27.0  | 2700 | 0.0609          |
+| 0.0758        | 28.0  | 2800 | 0.0597          |
+| 0.0758        | 29.0  | 2900 | 0.0590          |
+| 0.0632        | 30.0  | 3000 | 0.0589          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "bias": "all",
+  "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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 12,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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training_args.bin

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