
<!-- 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. -->

# unt_faqs_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1017

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 12   | 5.4252          |
| No log        | 2.0   | 24   | 4.4929          |
| No log        | 3.0   | 36   | 3.8593          |
| No log        | 4.0   | 48   | 3.1898          |
| No log        | 5.0   | 60   | 3.2708          |
| No log        | 6.0   | 72   | 3.2766          |
| No log        | 7.0   | 84   | 3.6022          |
| No log        | 8.0   | 96   | 3.8336          |
| No log        | 9.0   | 108  | 4.0215          |
| No log        | 10.0  | 120  | 4.1909          |
| No log        | 11.0  | 132  | 4.4297          |
| No log        | 12.0  | 144  | 4.3085          |
| No log        | 13.0  | 156  | 4.4102          |
| No log        | 14.0  | 168  | 4.4956          |
| No log        | 15.0  | 180  | 4.8586          |
| No log        | 16.0  | 192  | 4.8999          |
| No log        | 17.0  | 204  | 4.6935          |
| No log        | 18.0  | 216  | 4.5933          |
| No log        | 19.0  | 228  | 4.5490          |
| No log        | 20.0  | 240  | 4.7068          |
| No log        | 21.0  | 252  | 4.7150          |
| No log        | 22.0  | 264  | 4.9225          |
| No log        | 23.0  | 276  | 4.7852          |
| No log        | 24.0  | 288  | 4.8968          |
| No log        | 25.0  | 300  | 4.9657          |
| No log        | 26.0  | 312  | 5.0764          |
| No log        | 27.0  | 324  | 5.0940          |
| No log        | 28.0  | 336  | 5.1408          |
| No log        | 29.0  | 348  | 5.3001          |
| No log        | 30.0  | 360  | 5.1304          |
| No log        | 31.0  | 372  | 5.4316          |
| No log        | 32.0  | 384  | 5.3884          |
| No log        | 33.0  | 396  | 5.4434          |
| No log        | 34.0  | 408  | 5.3642          |
| No log        | 35.0  | 420  | 5.5924          |
| No log        | 36.0  | 432  | 5.2098          |
| No log        | 37.0  | 444  | 5.3167          |
| No log        | 38.0  | 456  | 5.2808          |
| No log        | 39.0  | 468  | 5.3687          |
| No log        | 40.0  | 480  | 5.4625          |
| No log        | 41.0  | 492  | 5.4122          |
| 0.6438        | 42.0  | 504  | 5.4850          |
| 0.6438        | 43.0  | 516  | 5.4797          |
| 0.6438        | 44.0  | 528  | 5.8061          |
| 0.6438        | 45.0  | 540  | 5.8501          |
| 0.6438        | 46.0  | 552  | 5.6079          |
| 0.6438        | 47.0  | 564  | 5.6625          |
| 0.6438        | 48.0  | 576  | 5.7005          |
| 0.6438        | 49.0  | 588  | 5.6703          |
| 0.6438        | 50.0  | 600  | 5.5704          |
| 0.6438        | 51.0  | 612  | 5.7556          |
| 0.6438        | 52.0  | 624  | 5.6541          |
| 0.6438        | 53.0  | 636  | 5.7571          |
| 0.6438        | 54.0  | 648  | 5.8092          |
| 0.6438        | 55.0  | 660  | 5.8529          |
| 0.6438        | 56.0  | 672  | 5.7974          |
| 0.6438        | 57.0  | 684  | 6.0617          |
| 0.6438        | 58.0  | 696  | 5.8630          |
| 0.6438        | 59.0  | 708  | 5.8652          |
| 0.6438        | 60.0  | 720  | 5.9569          |
| 0.6438        | 61.0  | 732  | 6.0163          |
| 0.6438        | 62.0  | 744  | 5.8635          |
| 0.6438        | 63.0  | 756  | 6.1112          |
| 0.6438        | 64.0  | 768  | 5.9750          |
| 0.6438        | 65.0  | 780  | 5.7267          |
| 0.6438        | 66.0  | 792  | 5.9968          |
| 0.6438        | 67.0  | 804  | 5.9974          |
| 0.6438        | 68.0  | 816  | 5.9145          |
| 0.6438        | 69.0  | 828  | 5.8521          |
| 0.6438        | 70.0  | 840  | 5.9012          |
| 0.6438        | 71.0  | 852  | 5.9272          |
| 0.6438        | 72.0  | 864  | 5.9137          |
| 0.6438        | 73.0  | 876  | 5.9371          |
| 0.6438        | 74.0  | 888  | 5.9811          |
| 0.6438        | 75.0  | 900  | 6.0054          |
| 0.6438        | 76.0  | 912  | 6.0101          |
| 0.6438        | 77.0  | 924  | 6.0301          |
| 0.6438        | 78.0  | 936  | 5.9783          |
| 0.6438        | 79.0  | 948  | 5.9784          |
| 0.6438        | 80.0  | 960  | 6.0630          |
| 0.6438        | 81.0  | 972  | 6.1151          |
| 0.6438        | 82.0  | 984  | 6.0869          |
| 0.6438        | 83.0  | 996  | 6.0823          |
| 0.0228        | 84.0  | 1008 | 6.0805          |
| 0.0228        | 85.0  | 1020 | 6.0722          |
| 0.0228        | 86.0  | 1032 | 6.0623          |
| 0.0228        | 87.0  | 1044 | 6.0561          |
| 0.0228        | 88.0  | 1056 | 6.0367          |
| 0.0228        | 89.0  | 1068 | 6.0342          |
| 0.0228        | 90.0  | 1080 | 6.0461          |
| 0.0228        | 91.0  | 1092 | 6.0646          |
| 0.0228        | 92.0  | 1104 | 6.0780          |
| 0.0228        | 93.0  | 1116 | 6.0926          |
| 0.0228        | 94.0  | 1128 | 6.0963          |
| 0.0228        | 95.0  | 1140 | 6.1009          |
| 0.0228        | 96.0  | 1152 | 6.1044          |
| 0.0228        | 97.0  | 1164 | 6.1015          |
| 0.0228        | 98.0  | 1176 | 6.1014          |
| 0.0228        | 99.0  | 1188 | 6.1021          |
| 0.0228        | 100.0 | 1200 | 6.1017          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "pipeline_tag": "question-answering", "model-index": [{"name": "unt_faqs_model", "results": []}]}
transformers pytorch distilbert question-answering generated_from_trainer en base_model:distilbert-base-uncased license:apache-2.0 endpoints_compatible has_space region:us