metadata
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: bert-dp-4
results: []
bert-dp-4
This model is a fine-tuned version of on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 6.7082
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3445 | 1.89 | 1000 | 5.9292 |
| 5.8327 | 3.78 | 2000 | 5.8495 |
| 6.5089 | 5.67 | 3000 | 6.7228 |
| 6.7256 | 7.56 | 4000 | 6.7197 |
| 6.7194 | 9.45 | 5000 | 6.7135 |
| 6.7174 | 11.34 | 6000 | 6.7132 |
| 6.7114 | 13.23 | 7000 | 6.7119 |
| 6.7166 | 15.12 | 8000 | 6.7129 |
| 6.7109 | 17.01 | 9000 | 6.7107 |
| 6.7112 | 18.9 | 10000 | 6.7134 |
| 6.7125 | 20.79 | 11000 | 6.7090 |
| 6.7099 | 22.68 | 12000 | 6.7085 |
| 6.7084 | 24.57 | 13000 | 6.7069 |
| 6.7066 | 26.47 | 14000 | 6.7063 |
| 6.7083 | 28.36 | 15000 | 6.7037 |
| 6.7062 | 30.25 | 16000 | 6.7044 |
| 6.705 | 32.14 | 17000 | 6.7022 |
| 6.7041 | 34.03 | 18000 | 6.7058 |
| 6.7031 | 35.92 | 19000 | 6.7055 |
| 6.7031 | 37.81 | 20000 | 6.7067 |
| 6.7039 | 39.7 | 21000 | 6.7082 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3