65467d85bda7195e71b345cfb400d4a8
This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll03-german on the contemmcm/amazon_reviews_2013 [cell-phone] dataset. It achieves the following results on the evaluation set:
- Loss: 1.4877
- Data Size: 0.125
- Epoch Runtime: 63.0795
- Accuracy: 0.3853
- F1 Macro: 0.1112
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
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 1.6983 | 0 | 22.1036 | 0.0940 | 0.0346 |
| No log | 1 | 1973 | 1.4836 | 0.0078 | 24.6657 | 0.3853 | 0.1112 |
| 0.0328 | 2 | 3946 | 1.4955 | 0.0156 | 27.2496 | 0.3853 | 0.1112 |
| 1.5017 | 3 | 5919 | 1.4866 | 0.0312 | 32.4129 | 0.3853 | 0.1112 |
| 1.5015 | 4 | 7892 | 1.4924 | 0.0625 | 43.5861 | 0.3853 | 0.1112 |
| 1.4767 | 5 | 9865 | 1.4877 | 0.125 | 63.0795 | 0.3853 | 0.1112 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
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