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--- |
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base_model: microsoft/Phi-3.5-mini-instruct |
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library_name: peft |
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license: mit |
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metrics: |
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- rouge |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: grounded-ai-rag-3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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) |
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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) |
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# grounded-ai-rag-3 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5557 |
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- Rouge1: 1.0 |
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- Rouge2: 0.0 |
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- Rougel: 1.0 |
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- Rougelsum: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 15 |
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- training_steps: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 1.8222 | 5.0 | 5 | 1.9460 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 1.7609 | 10.0 | 10 | 1.6547 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 1.4433 | 15.0 | 15 | 1.3821 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 1.2307 | 20.0 | 20 | 1.1176 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 0.9889 | 25.0 | 25 | 0.7975 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 0.6934 | 30.0 | 30 | 0.6240 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 0.5838 | 35.0 | 35 | 0.5633 | 1.0 | 0.0 | 1.0 | 1.0 | |
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| 0.5625 | 40.0 | 40 | 0.5557 | 1.0 | 0.0 | 1.0 | 1.0 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
