|
--- |
|
license: other |
|
base_model: microsoft/phi-1_5 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: phi-sft-outC |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
# phi-sft-outC |
|
|
|
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co./microsoft/phi-1_5) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7401 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.8712 | 0.01 | 1 | 0.9999 | |
|
| 1.0178 | 0.21 | 30 | 0.9624 | |
|
| 1.0656 | 0.41 | 60 | 0.8691 | |
|
| 0.8251 | 0.62 | 90 | 0.8188 | |
|
| 0.8962 | 0.82 | 120 | 0.7913 | |
|
| 0.9011 | 1.03 | 150 | 0.7756 | |
|
| 0.8312 | 1.23 | 180 | 0.7655 | |
|
| 0.7654 | 1.44 | 210 | 0.7585 | |
|
| 1.0281 | 1.64 | 240 | 0.7522 | |
|
| 0.8819 | 1.85 | 270 | 0.7480 | |
|
| 0.8851 | 2.05 | 300 | 0.7453 | |
|
| 0.8821 | 2.26 | 330 | 0.7434 | |
|
| 0.7589 | 2.47 | 360 | 0.7423 | |
|
| 0.7541 | 2.67 | 390 | 0.7411 | |
|
| 0.9416 | 2.88 | 420 | 0.7406 | |
|
| 0.8544 | 3.08 | 450 | 0.7403 | |
|
| 0.8682 | 3.29 | 480 | 0.7402 | |
|
| 0.8589 | 3.49 | 510 | 0.7401 | |
|
| 0.7781 | 3.7 | 540 | 0.7402 | |
|
| 0.8715 | 3.9 | 570 | 0.7401 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.0 |
|
|
