Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+library_name: peft
+license: llama3
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: results_1
+  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_1
+
+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: 0.5411
+
+## 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: 1e-05
+- train_batch_size: 3
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.7711        | 1.1844  | 53   | 0.6969          |
+| 0.614         | 2.3687  | 106  | 0.6113          |
+| 0.5994        | 3.5531  | 159  | 0.5945          |
+| 0.5602        | 4.7374  | 212  | 0.5745          |
+| 0.5807        | 5.9218  | 265  | 0.5630          |
+| 0.5484        | 7.1061  | 318  | 0.5532          |
+| 0.543         | 8.2905  | 371  | 0.5472          |
+| 0.4977        | 9.4749  | 424  | 0.5436          |
+| 0.5072        | 10.6592 | 477  | 0.5411          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1