results
This model is a fine-tuned version of google/electra-small-generator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8868
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2836 | 1.0 | 16 | 6.2869 |
| 6.2748 | 2.0 | 32 | 6.2368 |
| 6.2209 | 3.0 | 48 | 6.1600 |
| 6.1363 | 4.0 | 64 | 6.0547 |
| 5.9201 | 5.0 | 80 | 5.9228 |
| 5.8479 | 6.0 | 96 | 5.7646 |
| 5.6182 | 7.0 | 112 | 5.5816 |
| 5.5161 | 8.0 | 128 | 5.3555 |
| 5.1832 | 9.0 | 144 | 5.1113 |
| 4.8863 | 10.0 | 160 | 4.8868 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/electra-small-generator