bert-large-uncased-pp-1000-1e-06-8
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6937
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 32 | 0.6996 |
No log | 2.0 | 64 | 0.6972 |
No log | 3.0 | 96 | 0.6956 |
No log | 4.0 | 128 | 0.6947 |
No log | 5.0 | 160 | 0.6940 |
No log | 6.0 | 192 | 0.6937 |
0.6929 | 7.0 | 224 | 0.6951 |
0.6929 | 8.0 | 256 | 0.6945 |
0.6929 | 9.0 | 288 | 0.6953 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for mhr2004/bert-large-uncased-pp-1000-1e-06-8
Base model
google-bert/bert-large-uncased
Finetuned
this model