gpt2-medium-combine
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7295
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.9811 | 0.6 | 500 | 2.8135 |
2.8017 | 1.2 | 1000 | 2.7691 |
2.7255 | 1.81 | 1500 | 2.7480 |
2.6598 | 2.41 | 2000 | 2.7392 |
2.6426 | 3.01 | 2500 | 2.7306 |
2.6138 | 3.61 | 3000 | 2.7295 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Downloads last month
- 53
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.