Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0
+model-index:
+- name: Experiment-QA-Breeze-7B-Instruct-v1_0
+  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. -->
+
+# Experiment-QA-Breeze-7B-Instruct-v1_0
+
+This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7361
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3943        | 1.0   | 27   | 1.9839          |
+| 1.9857        | 2.0   | 54   | 1.8182          |
+| 1.8169        | 3.0   | 81   | 1.7600          |
+| 1.6758        | 4.0   | 108  | 1.7318          |
+| 1.636         | 5.0   | 135  | 1.7330          |
+| 1.5205        | 6.0   | 162  | 1.7361          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.15.0