DYG_TiBERT_v2
This model is a fine-tuned version of sangjeedondrub/tibetan-roberta-causal-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2134
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: 0.001
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 8 | 3.1386 |
| No log | 2.0 | 16 | 2.1665 |
| No log | 3.0 | 24 | 1.6217 |
| No log | 4.0 | 32 | 1.3016 |
| No log | 5.0 | 40 | 1.2134 |
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 TSingye/DYG_TiBERT_v2
Base model
sangjeedondrub/tibetan-roberta-causal-base