transformers tensorboard safetensors roberta text-generation generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-DoniaTrials514true
  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-base-DoniaTrials514true

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: 2.6702

## 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   | 39   | 7.8456          |
| No log        | 2.0   | 78   | 6.4265          |
| No log        | 3.0   | 117  | 5.3856          |
| No log        | 4.0   | 156  | 4.5975          |
| No log        | 5.0   | 195  | 4.0243          |
| No log        | 6.0   | 234  | 3.6660          |
| No log        | 7.0   | 273  | 3.4572          |
| No log        | 8.0   | 312  | 3.3306          |
| No log        | 9.0   | 351  | 3.2438          |
| No log        | 10.0  | 390  | 3.1784          |
| No log        | 11.0  | 429  | 3.1267          |
| No log        | 12.0  | 468  | 3.0829          |
| 4.5187        | 13.0  | 507  | 3.0498          |
| 4.5187        | 14.0  | 546  | 3.0194          |
| 4.5187        | 15.0  | 585  | 2.9938          |
| 4.5187        | 16.0  | 624  | 2.9654          |
| 4.5187        | 17.0  | 663  | 2.9417          |
| 4.5187        | 18.0  | 702  | 2.9198          |
| 4.5187        | 19.0  | 741  | 2.8977          |
| 4.5187        | 20.0  | 780  | 2.8808          |
| 4.5187        | 21.0  | 819  | 2.8610          |
| 4.5187        | 22.0  | 858  | 2.8478          |
| 4.5187        | 23.0  | 897  | 2.8297          |
| 4.5187        | 24.0  | 936  | 2.8192          |
| 4.5187        | 25.0  | 975  | 2.8051          |
| 2.9028        | 26.0  | 1014 | 2.7953          |
| 2.9028        | 27.0  | 1053 | 2.7847          |
| 2.9028        | 28.0  | 1092 | 2.7739          |
| 2.9028        | 29.0  | 1131 | 2.7643          |
| 2.9028        | 30.0  | 1170 | 2.7559          |
| 2.9028        | 31.0  | 1209 | 2.7454          |
| 2.9028        | 32.0  | 1248 | 2.7378          |
| 2.9028        | 33.0  | 1287 | 2.7312          |
| 2.9028        | 34.0  | 1326 | 2.7223          |
| 2.9028        | 35.0  | 1365 | 2.7172          |
| 2.9028        | 36.0  | 1404 | 2.7099          |
| 2.9028        | 37.0  | 1443 | 2.7061          |
| 2.9028        | 38.0  | 1482 | 2.6997          |
| 2.7389        | 39.0  | 1521 | 2.6964          |
| 2.7389        | 40.0  | 1560 | 2.6912          |
| 2.7389        | 41.0  | 1599 | 2.6867          |
| 2.7389        | 42.0  | 1638 | 2.6833          |
| 2.7389        | 43.0  | 1677 | 2.6801          |
| 2.7389        | 44.0  | 1716 | 2.6778          |
| 2.7389        | 45.0  | 1755 | 2.6761          |
| 2.7389        | 46.0  | 1794 | 2.6737          |
| 2.7389        | 47.0  | 1833 | 2.6717          |
| 2.7389        | 48.0  | 1872 | 2.6712          |
| 2.7389        | 49.0  | 1911 | 2.6703          |
| 2.7389        | 50.0  | 1950 | 2.6702          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
