File size: 3,044 Bytes
435e105 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | ---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0417MADP3
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. -->
# V0417MADP3
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: 0.1901
## 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: 60
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.5507 | 0.09 | 10 | 3.0786 |
| 6.3727 | 0.18 | 20 | 2.6464 |
| 3.4656 | 0.27 | 30 | 1.9120 |
| 1.5044 | 0.36 | 40 | 1.1144 |
| 0.581 | 0.45 | 50 | 0.7389 |
| 0.3434 | 0.54 | 60 | 0.5960 |
| 0.3386 | 0.63 | 70 | 0.5215 |
| 0.2957 | 0.73 | 80 | 0.5323 |
| 0.258 | 0.82 | 90 | 0.4773 |
| 0.263 | 0.91 | 100 | 0.4986 |
| 0.2584 | 1.0 | 110 | 0.4831 |
| 0.2808 | 1.09 | 120 | 0.5051 |
| 0.2978 | 1.18 | 130 | 0.4790 |
| 0.2479 | 1.27 | 140 | 0.4456 |
| 0.4023 | 1.36 | 150 | 0.4223 |
| 0.21 | 1.45 | 160 | 0.2159 |
| 0.1788 | 1.54 | 170 | 0.2052 |
| 0.1786 | 1.63 | 180 | 0.2024 |
| 0.1748 | 1.72 | 190 | 0.2013 |
| 0.1718 | 1.81 | 200 | 0.2138 |
| 0.176 | 1.9 | 210 | 0.2197 |
| 0.173 | 1.99 | 220 | 0.2321 |
| 0.1877 | 2.08 | 230 | 0.2317 |
| 0.1732 | 2.18 | 240 | 0.2126 |
| 0.1661 | 2.27 | 250 | 0.1958 |
| 0.1668 | 2.36 | 260 | 0.1955 |
| 0.1642 | 2.45 | 270 | 0.1957 |
| 0.1612 | 2.54 | 280 | 0.1937 |
| 0.1681 | 2.63 | 290 | 0.1910 |
| 0.1622 | 2.72 | 300 | 0.1901 |
| 0.1592 | 2.81 | 310 | 0.1898 |
| 0.1657 | 2.9 | 320 | 0.1904 |
| 0.1696 | 2.99 | 330 | 0.1901 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.14.1
|