End of training

README.md

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+---
+license: llama3
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+model-index:
+- name: query
+  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. -->
+
+# query
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3182
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 32
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 4    | 14.3920         |
+| No log        | 2.0   | 8    | 13.2479         |
+| No log        | 3.0   | 12   | 12.0852         |
+| No log        | 4.0   | 16   | 10.4945         |
+| No log        | 5.0   | 20   | 8.7942          |
+| No log        | 6.0   | 24   | 6.9466          |
+| No log        | 7.0   | 28   | 4.9444          |
+| No log        | 8.0   | 32   | 2.8411          |
+| No log        | 9.0   | 36   | 1.2720          |
+| No log        | 10.0  | 40   | 0.7259          |
+| No log        | 11.0  | 44   | 0.5651          |
+| No log        | 12.0  | 48   | 0.5014          |
+| No log        | 13.0  | 52   | 0.4775          |
+| No log        | 14.0  | 56   | 0.4608          |
+| No log        | 15.0  | 60   | 0.4456          |
+| No log        | 16.0  | 64   | 0.4314          |
+| No log        | 17.0  | 68   | 0.4171          |
+| No log        | 18.0  | 72   | 0.4032          |
+| No log        | 19.0  | 76   | 0.3910          |
+| No log        | 20.0  | 80   | 0.3808          |
+| No log        | 21.0  | 84   | 0.3719          |
+| No log        | 22.0  | 88   | 0.3638          |
+| No log        | 23.0  | 92   | 0.3561          |
+| No log        | 24.0  | 96   | 0.3491          |
+| No log        | 25.0  | 100  | 0.3426          |
+| No log        | 26.0  | 104  | 0.3370          |
+| No log        | 27.0  | 108  | 0.3320          |
+| No log        | 28.0  | 112  | 0.3278          |
+| No log        | 29.0  | 116  | 0.3241          |
+| No log        | 30.0  | 120  | 0.3216          |
+| No log        | 31.0  | 124  | 0.3195          |
+| No log        | 32.0  | 128  | 0.3182          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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