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---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0320MP3
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. -->
# V0320MP3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1215
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5643 | 0.09 | 10 | 2.3573 |
| 2.1608 | 0.18 | 20 | 1.8527 |
| 1.6246 | 0.27 | 30 | 1.2651 |
| 1.1395 | 0.36 | 40 | 0.8357 |
| 0.7126 | 0.45 | 50 | 0.3825 |
| 0.3575 | 0.54 | 60 | 0.1921 |
| 0.2196 | 0.63 | 70 | 0.1514 |
| 0.181 | 0.73 | 80 | 0.1415 |
| 0.1696 | 0.82 | 90 | 0.1371 |
| 0.1653 | 0.91 | 100 | 0.1335 |
| 0.1636 | 1.0 | 110 | 0.1309 |
| 0.1508 | 1.09 | 120 | 0.1295 |
| 0.1551 | 1.18 | 130 | 0.1285 |
| 0.1516 | 1.27 | 140 | 0.1276 |
| 0.1569 | 1.36 | 150 | 0.1266 |
| 0.1464 | 1.45 | 160 | 0.1261 |
| 0.1428 | 1.54 | 170 | 0.1258 |
| 0.1502 | 1.63 | 180 | 0.1245 |
| 0.1417 | 1.72 | 190 | 0.1242 |
| 0.1392 | 1.81 | 200 | 0.1237 |
| 0.1434 | 1.9 | 210 | 0.1231 |
| 0.1433 | 1.99 | 220 | 0.1227 |
| 0.1432 | 2.08 | 230 | 0.1225 |
| 0.1397 | 2.18 | 240 | 0.1222 |
| 0.1395 | 2.27 | 250 | 0.1220 |
| 0.1415 | 2.36 | 260 | 0.1218 |
| 0.1401 | 2.45 | 270 | 0.1215 |
| 0.1372 | 2.54 | 280 | 0.1216 |
| 0.1366 | 2.63 | 290 | 0.1215 |
| 0.1405 | 2.72 | 300 | 0.1215 |
| 0.1431 | 2.81 | 310 | 0.1213 |
| 0.1384 | 2.9 | 320 | 0.1215 |
| 0.1415 | 2.99 | 330 | 0.1215 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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