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---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: rh_qa_model
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. -->
# rh_qa_model
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9421
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 9 | 5.7606 |
| No log | 2.0 | 18 | 5.2134 |
| No log | 3.0 | 27 | 4.6264 |
| No log | 4.0 | 36 | 4.6808 |
| No log | 5.0 | 45 | 4.6072 |
| No log | 6.0 | 54 | 4.0322 |
| No log | 7.0 | 63 | 4.5964 |
| No log | 8.0 | 72 | 3.3412 |
| No log | 9.0 | 81 | 3.3570 |
| No log | 10.0 | 90 | 3.6391 |
| No log | 11.0 | 99 | 3.4018 |
| No log | 12.0 | 108 | 3.4077 |
| No log | 13.0 | 117 | 3.6908 |
| No log | 14.0 | 126 | 4.0146 |
| No log | 15.0 | 135 | 3.8527 |
| No log | 16.0 | 144 | 3.9721 |
| No log | 17.0 | 153 | 3.9417 |
| No log | 18.0 | 162 | 3.8664 |
| No log | 19.0 | 171 | 3.9009 |
| No log | 20.0 | 180 | 3.9753 |
| No log | 21.0 | 189 | 4.0617 |
| No log | 22.0 | 198 | 4.1928 |
| No log | 23.0 | 207 | 4.2910 |
| No log | 24.0 | 216 | 4.2968 |
| No log | 25.0 | 225 | 4.5358 |
| No log | 26.0 | 234 | 4.3997 |
| No log | 27.0 | 243 | 4.3952 |
| No log | 28.0 | 252 | 4.5261 |
| No log | 29.0 | 261 | 4.4806 |
| No log | 30.0 | 270 | 4.5944 |
| No log | 31.0 | 279 | 4.2314 |
| No log | 32.0 | 288 | 4.5624 |
| No log | 33.0 | 297 | 4.6074 |
| No log | 34.0 | 306 | 4.2452 |
| No log | 35.0 | 315 | 4.6662 |
| No log | 36.0 | 324 | 4.2687 |
| No log | 37.0 | 333 | 4.7763 |
| No log | 38.0 | 342 | 4.7474 |
| No log | 39.0 | 351 | 4.7573 |
| No log | 40.0 | 360 | 4.7578 |
| No log | 41.0 | 369 | 4.9119 |
| No log | 42.0 | 378 | 4.9752 |
| No log | 43.0 | 387 | 4.9227 |
| No log | 44.0 | 396 | 4.8575 |
| No log | 45.0 | 405 | 4.8022 |
| No log | 46.0 | 414 | 4.9180 |
| No log | 47.0 | 423 | 4.9006 |
| No log | 48.0 | 432 | 4.9202 |
| No log | 49.0 | 441 | 4.9380 |
| No log | 50.0 | 450 | 4.9421 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
|