File size: 1,808 Bytes
716053a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-pretrained-perigon200k
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. -->
# roberta-base-pretrained-perigon200k
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9840
## 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: 8.5e-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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4678 | 1.0 | 5480 | 1.3180 |
| 1.3713 | 2.0 | 10960 | 1.2695 |
| 1.2673 | 3.0 | 16440 | 1.1842 |
| 1.211 | 4.0 | 21920 | 1.1350 |
| 1.1646 | 5.0 | 27400 | 1.0997 |
| 1.1181 | 6.0 | 32880 | 1.0630 |
| 1.0859 | 7.0 | 38360 | 1.0344 |
| 1.0561 | 8.0 | 43840 | 1.0126 |
| 1.0244 | 9.0 | 49320 | 0.9944 |
| 1.0006 | 10.0 | 54800 | 0.9881 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|