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---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: titletor-phi_1-5
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. -->
# titletor-phi_1-5
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1587
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4023 | 0.1 | 40 | 2.9074 |
| 2.7878 | 0.2 | 80 | 2.7608 |
| 2.7083 | 0.3 | 120 | 2.6496 |
| 2.6213 | 0.41 | 160 | 2.5309 |
| 2.5145 | 0.51 | 200 | 2.4658 |
| 2.4395 | 0.61 | 240 | 2.4294 |
| 2.4016 | 0.71 | 280 | 2.3857 |
| 2.4194 | 0.81 | 320 | 2.3635 |
| 2.3467 | 0.91 | 360 | 2.3278 |
| 2.2736 | 1.02 | 400 | 2.2854 |
| 2.1737 | 1.12 | 440 | 2.2824 |
| 2.1805 | 1.22 | 480 | 2.2722 |
| 2.1472 | 1.32 | 520 | 2.2521 |
| 2.1654 | 1.42 | 560 | 2.2372 |
| 2.1281 | 1.52 | 600 | 2.2304 |
| 2.0958 | 1.62 | 640 | 2.2136 |
| 2.1422 | 1.73 | 680 | 2.1955 |
| 2.07 | 1.83 | 720 | 2.1919 |
| 2.0684 | 1.93 | 760 | 2.1829 |
| 2.0392 | 2.03 | 800 | 2.1726 |
| 1.868 | 2.13 | 840 | 2.1760 |
| 1.8342 | 2.23 | 880 | 2.1696 |
| 1.8225 | 2.34 | 920 | 2.1684 |
| 1.8678 | 2.44 | 960 | 2.1671 |
| 1.8543 | 2.54 | 1000 | 2.1618 |
| 1.8666 | 2.64 | 1040 | 2.1607 |
| 1.8597 | 2.74 | 1080 | 2.1600 |
| 1.8605 | 2.84 | 1120 | 2.1591 |
| 1.8515 | 2.94 | 1160 | 2.1587 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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