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---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-rbm231k-ep20-op40
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. -->
# distilroberta-rbm231k-ep20-op40
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1240
## 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: 7.3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.19
- num_epochs: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.696 | 1.0 | 14644 | 1.5458 |
| 1.5919 | 2.0 | 29288 | 1.4527 |
| 1.5345 | 3.0 | 43932 | 1.4052 |
| 1.4921 | 4.0 | 58576 | 1.3763 |
| 1.4798 | 5.0 | 73220 | 1.3612 |
| 1.464 | 6.0 | 87864 | 1.3492 |
| 1.4498 | 7.0 | 102508 | 1.3409 |
| 1.448 | 8.0 | 117152 | 1.3355 |
| 1.4262 | 9.0 | 131796 | 1.3213 |
| 1.4175 | 10.0 | 146440 | 1.3096 |
| 1.3851 | 11.0 | 161084 | 1.2963 |
| 1.3728 | 12.0 | 175728 | 1.2846 |
| 1.3601 | 13.0 | 190372 | 1.2739 |
| 1.351 | 14.0 | 205016 | 1.2639 |
| 1.3406 | 15.0 | 219660 | 1.2555 |
| 1.3214 | 16.0 | 234304 | 1.2454 |
| 1.31 | 17.0 | 248948 | 1.2372 |
| 1.3117 | 18.0 | 263592 | 1.2317 |
| 1.2947 | 19.0 | 278236 | 1.2267 |
| 1.2858 | 20.0 | 292880 | 1.2162 |
| 1.2804 | 21.0 | 307524 | 1.2092 |
| 1.2708 | 22.0 | 322168 | 1.2064 |
| 1.2635 | 23.0 | 336812 | 1.1974 |
| 1.253 | 24.0 | 351456 | 1.1926 |
| 1.2463 | 25.0 | 366100 | 1.1832 |
| 1.2399 | 26.0 | 380744 | 1.1817 |
| 1.2328 | 27.0 | 395388 | 1.1752 |
| 1.2292 | 28.0 | 410032 | 1.1710 |
| 1.2197 | 29.0 | 424676 | 1.1672 |
| 1.2101 | 30.0 | 439320 | 1.1618 |
| 1.2029 | 31.0 | 453964 | 1.1551 |
| 1.2007 | 32.0 | 468608 | 1.1515 |
| 1.1932 | 33.0 | 483252 | 1.1438 |
| 1.1884 | 34.0 | 497896 | 1.1406 |
| 1.1835 | 35.0 | 512540 | 1.1364 |
| 1.1762 | 36.0 | 527184 | 1.1344 |
| 1.174 | 37.0 | 541828 | 1.1315 |
| 1.1675 | 38.0 | 556472 | 1.1267 |
| 1.1699 | 39.0 | 571116 | 1.1230 |
| 1.1629 | 40.0 | 585760 | 1.1274 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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