Model save

README.md

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+---
+base_model: GeneZC/MiniChat-1.5-3B
+datasets:
+- generator
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: rogue_llm
+  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. -->
+
+# rogue_llm
+
+This model is a fine-tuned version of [GeneZC/MiniChat-1.5-3B](https://huggingface.co/GeneZC/MiniChat-1.5-3B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9718
+
+## 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: 12
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9708        | 1.0   | 109  | 1.0519          |
+| 1.0169        | 2.0   | 218  | 1.0048          |
+| 0.9291        | 3.0   | 327  | 0.9689          |
+| 0.8302        | 4.0   | 436  | 0.9539          |
+| 0.7325        | 5.0   | 545  | 0.9718          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.36.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

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