Model save

README.md

@@ -0,0 +1,68 @@
+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: microsoft/Phi-3-mini-128k-instruct
+datasets:
+- generator
+model-index:
+- name: Phi-3-mini-128k-instruct-advisegpt-v0.3
+  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. -->
+
+# Phi-3-mini-128k-instruct-advisegpt-v0.3
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6513
+
+## 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: 14
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 30
+- total_train_batch_size: 420
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.838         | 0.9633 | 14   | 1.7877          |
+| 1.5618        | 1.9954 | 29   | 1.6674          |
+| 1.4944        | 2.8899 | 42   | 1.6513          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.2.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1