metadata
tags:
- generated_from_trainer
datasets:
- uonlp/CulturaX
metrics:
- accuracy
model-index:
- name: gpt2+ts_cx-cs_00000-00019_50k
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: uonlp/CulturaX cs
type: uonlp/CulturaX
args: cs
metrics:
- name: Accuracy
type: accuracy
value: 0.39971894120768026
license: mit
language:
- cs
gpt2+ts_cx-cs_00000-00019_50k
This model is a fine-tuned version of on the uonlp/CulturaX cs dataset. It achieves the following results on the evaluation set:
- Loss: 3.4399
- Accuracy: 0.3997
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.6338 | 0.04 | 10000 | 4.5133 | 0.2968 |
| 4.2588 | 0.07 | 20000 | 4.1531 | 0.3284 |
| 4.0955 | 0.11 | 30000 | 3.9906 | 0.3432 |
| 3.9884 | 0.15 | 40000 | 3.8866 | 0.3530 |
| 3.914 | 0.18 | 50000 | 3.8144 | 0.3601 |
| 3.8563 | 0.22 | 60000 | 3.7592 | 0.3656 |
| 3.8136 | 0.25 | 70000 | 3.7137 | 0.3701 |
| 3.7762 | 0.29 | 80000 | 3.6766 | 0.3740 |
| 3.7481 | 0.33 | 90000 | 3.6468 | 0.3773 |
| 3.7199 | 0.36 | 100000 | 3.6194 | 0.3800 |
| 3.6886 | 0.4 | 110000 | 3.5967 | 0.3824 |
| 3.677 | 0.44 | 120000 | 3.5789 | 0.3843 |
| 3.6611 | 0.47 | 130000 | 3.5600 | 0.3863 |
| 3.6442 | 0.51 | 140000 | 3.5443 | 0.3879 |
| 3.6285 | 0.55 | 150000 | 3.5313 | 0.3894 |
| 3.6126 | 0.58 | 160000 | 3.5176 | 0.3910 |
| 3.6051 | 0.62 | 170000 | 3.5063 | 0.3921 |
| 3.5946 | 0.65 | 180000 | 3.4957 | 0.3933 |
| 3.5883 | 0.69 | 190000 | 3.4858 | 0.3944 |
| 3.5789 | 0.73 | 200000 | 3.4788 | 0.3951 |
| 3.5693 | 0.76 | 210000 | 3.4702 | 0.3963 |
| 3.5584 | 0.8 | 220000 | 3.4632 | 0.3970 |
| 3.5546 | 0.84 | 230000 | 3.4574 | 0.3977 |
| 3.5434 | 0.87 | 240000 | 3.4520 | 0.3983 |
| 3.5447 | 0.91 | 250000 | 3.4473 | 0.3988 |
| 3.5353 | 0.95 | 260000 | 3.4427 | 0.3993 |
| 3.5382 | 0.98 | 270000 | 3.4402 | 0.3997 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1