metadata
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/Phi-3-mini-4k-instruct
model-index:
- name: CH-Phi3m4k
results: []
CH-Phi3m4k
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an casehold/casehold dataset. It achieves the following results on the evaluation set:
- Loss: 1.5304
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 1
- seed: 342
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Validation F1 |
|---|---|---|---|---|
| 2.0053 | 0.1422 | 200 | 1.8927 | 0.722 |
| 1.6481 | 0.2844 | 400 | 1.6065 | 0.732 |
| 1.5653 | 0.4267 | 600 | 1.5864 | 0.746 |
| 1.5516 | 0.5689 | 800 | 1.5762 | 0.758 |
| 1.537 | 0.7111 | 1000 | 1.5689 | 0.768 |
| 1.5318 | 0.8533 | 1200 | 1.5637 | 0.772 |
| 1.5249 | 0.9956 | 1400 | 1.5595 | 0.774 |
| 1.5208 | 1.1378 | 1600 | 1.5550 | 0.768 |
| 1.5234 | 1.28 | 1800 | 1.5511 | 0.778 |
| 1.5099 | 1.4222 | 2000 | 1.5480 | 0.774 |
| 1.5144 | 1.5644 | 2200 | 1.5448 | 0.774 |
| 1.5139 | 1.7067 | 2400 | 1.5424 | 0.776 |
| 1.5013 | 1.8489 | 2600 | 1.5395 | 0.778 |
| 1.502 | 1.9911 | 2800 | 1.5377 | 0.770 |
| 1.4979 | 2.1333 | 3000 | 1.5358 | 0.768 |
| 1.491 | 2.2756 | 3200 | 1.5338 | 0.768 |
| 1.5025 | 2.4178 | 3400 | 1.5318 | 0.772 |
| 1.4933 | 2.56 | 3600 | 1.5304 | 0.772 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1