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---
base_model: microsoft/Phi-3.5-mini-instruct
library_name: peft
license: mit
metrics:
- rouge
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: grounded-ai-rag-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/josh-longenecker1-groundedai/grounded-ai-rag-relevance/runs/7nacy5gw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/josh-longenecker1-groundedai/grounded-ai-rag-relevance/runs/7nacy5gw)
# grounded-ai-rag-3
This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5557
- Rouge1: 1.0
- Rouge2: 0.0
- Rougel: 1.0
- Rougelsum: 1.0
## 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: 7e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 15
- training_steps: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.8222 | 5.0 | 5 | 1.9460 | 1.0 | 0.0 | 1.0 | 1.0 |
| 1.7609 | 10.0 | 10 | 1.6547 | 1.0 | 0.0 | 1.0 | 1.0 |
| 1.4433 | 15.0 | 15 | 1.3821 | 1.0 | 0.0 | 1.0 | 1.0 |
| 1.2307 | 20.0 | 20 | 1.1176 | 1.0 | 0.0 | 1.0 | 1.0 |
| 0.9889 | 25.0 | 25 | 0.7975 | 1.0 | 0.0 | 1.0 | 1.0 |
| 0.6934 | 30.0 | 30 | 0.6240 | 1.0 | 0.0 | 1.0 | 1.0 |
| 0.5838 | 35.0 | 35 | 0.5633 | 1.0 | 0.0 | 1.0 | 1.0 |
| 0.5625 | 40.0 | 40 | 0.5557 | 1.0 | 0.0 | 1.0 | 1.0 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1 |