dzoQAmodel
This model is a fine-tuned version of sangjeedondrub/tibetan-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.6732
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 16 | 5.5230 |
| No log | 2.0 | 32 | 5.3383 |
| No log | 3.0 | 48 | 5.2939 |
| No log | 4.0 | 64 | 5.2087 |
| No log | 5.0 | 80 | 5.1862 |
| No log | 6.0 | 96 | 5.2205 |
| No log | 7.0 | 112 | 5.2804 |
| No log | 8.0 | 128 | 5.3362 |
| No log | 9.0 | 144 | 5.4572 |
| No log | 10.0 | 160 | 5.4701 |
| No log | 11.0 | 176 | 5.5276 |
| No log | 12.0 | 192 | 5.5678 |
| No log | 13.0 | 208 | 5.6553 |
| No log | 14.0 | 224 | 5.6671 |
| No log | 15.0 | 240 | 5.6732 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Norphel/dzoQAmodel
Base model
sangjeedondrub/tibetan-roberta-base