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-DoniaTrials514
  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-DoniaTrials514

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: 2.5493

## 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   | 3.2269          |
| No log        | 2.0   | 78   | 3.1520          |
| No log        | 3.0   | 117  | 3.0998          |
| No log        | 4.0   | 156  | 3.0586          |
| No log        | 5.0   | 195  | 3.0225          |
| No log        | 6.0   | 234  | 2.9860          |
| No log        | 7.0   | 273  | 2.9566          |
| No log        | 8.0   | 312  | 2.9297          |
| No log        | 9.0   | 351  | 2.9042          |
| No log        | 10.0  | 390  | 2.8782          |
| No log        | 11.0  | 429  | 2.8561          |
| No log        | 12.0  | 468  | 2.8347          |
| 3.0074        | 13.0  | 507  | 2.8161          |
| 3.0074        | 14.0  | 546  | 2.8003          |
| 3.0074        | 15.0  | 585  | 2.7840          |
| 3.0074        | 16.0  | 624  | 2.7666          |
| 3.0074        | 17.0  | 663  | 2.7532          |
| 3.0074        | 18.0  | 702  | 2.7404          |
| 3.0074        | 19.0  | 741  | 2.7270          |
| 3.0074        | 20.0  | 780  | 2.7158          |
| 3.0074        | 21.0  | 819  | 2.7039          |
| 3.0074        | 22.0  | 858  | 2.6945          |
| 3.0074        | 23.0  | 897  | 2.6824          |
| 3.0074        | 24.0  | 936  | 2.6743          |
| 3.0074        | 25.0  | 975  | 2.6640          |
| 2.7328        | 26.0  | 1014 | 2.6566          |
| 2.7328        | 27.0  | 1053 | 2.6495          |
| 2.7328        | 28.0  | 1092 | 2.6390          |
| 2.7328        | 29.0  | 1131 | 2.6308          |
| 2.7328        | 30.0  | 1170 | 2.6250          |
| 2.7328        | 31.0  | 1209 | 2.6164          |
| 2.7328        | 32.0  | 1248 | 2.6106          |
| 2.7328        | 33.0  | 1287 | 2.6037          |
| 2.7328        | 34.0  | 1326 | 2.5978          |
| 2.7328        | 35.0  | 1365 | 2.5913          |
| 2.7328        | 36.0  | 1404 | 2.5867          |
| 2.7328        | 37.0  | 1443 | 2.5820          |
| 2.7328        | 38.0  | 1482 | 2.5763          |
| 2.6263        | 39.0  | 1521 | 2.5725          |
| 2.6263        | 40.0  | 1560 | 2.5689          |
| 2.6263        | 41.0  | 1599 | 2.5636          |
| 2.6263        | 42.0  | 1638 | 2.5610          |
| 2.6263        | 43.0  | 1677 | 2.5590          |
| 2.6263        | 44.0  | 1716 | 2.5566          |
| 2.6263        | 45.0  | 1755 | 2.5549          |
| 2.6263        | 46.0  | 1794 | 2.5523          |
| 2.6263        | 47.0  | 1833 | 2.5512          |
| 2.6263        | 48.0  | 1872 | 2.5500          |
| 2.6263        | 49.0  | 1911 | 2.5496          |
| 2.6263        | 50.0  | 1950 | 2.5493          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
