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---
library_name: peft
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: train-dir
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. -->
# train-dir
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6200
## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.7486 | 0.0190 | 25 | 3.4551 |
| 3.4581 | 0.0379 | 50 | 3.2213 |
| 3.239 | 0.0569 | 75 | 3.0629 |
| 3.1169 | 0.0758 | 100 | 2.9433 |
| 2.9742 | 0.0948 | 125 | 2.8331 |
| 2.8096 | 0.1137 | 150 | 2.7640 |
| 2.7135 | 0.1327 | 175 | 2.7206 |
| 2.7755 | 0.1516 | 200 | 2.6963 |
| 2.7801 | 0.1706 | 225 | 2.6765 |
| 2.7129 | 0.1895 | 250 | 2.6682 |
| 2.7635 | 0.2085 | 275 | 2.6622 |
| 2.7921 | 0.2274 | 300 | 2.6552 |
| 2.7238 | 0.2464 | 325 | 2.6459 |
| 2.6943 | 0.2654 | 350 | 2.6383 |
| 2.6689 | 0.2843 | 375 | 2.6321 |
| 2.7476 | 0.3033 | 400 | 2.6276 |
| 2.6384 | 0.3222 | 425 | 2.6254 |
| 2.7073 | 0.3412 | 450 | 2.6211 |
| 2.6845 | 0.3601 | 475 | 2.6210 |
| 2.7525 | 0.3791 | 500 | 2.6200 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0 |