File size: 1,230 Bytes
926e350 200ed96 926e350 200ed96 926e350 200ed96 926e350 200ed96 926e350 200ed96 926e350 200ed96 926e350 200ed96 7f6d761 926e350 200ed96 926e350 200ed96 926e350 200ed96 7f6d761 926e350 200ed96 926e350 |
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 |
---
language:
- el
tags:
- text
- language-modeling
metrics:
- accuracy
model-index:
- name: greek-media-longformer-base-4096-uncased
results: []
---
# Greek Media Longformer
This model is a second-stage pretrained version of [dimitriz/greek-longformer-base-4096](https://huggingface.co/dimitriz/greek-longformer-base-4096) trained on the [dimitriz/greek_media_texts](https://huggingface.co/datasets/dimitriz/greek_media_texts) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1424
- Accuracy: 0.7574
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
### Training results
### Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
|