metadata
license: cc-by-nc-4.0
base_model: xlm-mlm-100-1280
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MLMTokens_MAL-10epoch-MLMMul
results: []
MLMTokens_MAL-10epoch-MLMMul
This model is a fine-tuned version of xlm-mlm-100-1280 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4956
- Accuracy: 0.6935
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 19 | 1.4479 | 0.7097 |
| No log | 2.0 | 38 | 1.8107 | 0.5484 |
| No log | 3.0 | 57 | 2.0599 | 0.4355 |
| No log | 4.0 | 76 | 3.2218 | 0.7097 |
| No log | 5.0 | 95 | 2.4956 | 0.6935 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1