MAL-10epoch-BertMul
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3481
- Accuracy: 0.6207
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 9 | 1.2016 | 0.4310 |
| No log | 2.0 | 18 | 1.1152 | 0.6897 |
| No log | 3.0 | 27 | 1.2304 | 0.6379 |
| No log | 4.0 | 36 | 1.2419 | 0.5345 |
| No log | 5.0 | 45 | 1.2358 | 0.6552 |
| No log | 6.0 | 54 | 1.3296 | 0.5517 |
| No log | 7.0 | 63 | 1.3836 | 0.6034 |
| No log | 8.0 | 72 | 1.3849 | 0.6034 |
| No log | 9.0 | 81 | 1.3630 | 0.6034 |
| No log | 10.0 | 90 | 1.3481 | 0.6207 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for Rahul-G/MAL-10epoch-BertMul
Base model
google-bert/bert-base-multilingual-cased