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gpt2-base-chinese-finetuned-job-resume
This model is a fine-tuned version of ckiplab/gpt2-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2658
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: 2e-05
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 480 | 2.3271 |
| 2.4967 | 2.0 | 960 | 2.2729 |
| 2.2259 | 3.0 | 1440 | 2.2658 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cpu
- Datasets 2.1.0
- Tokenizers 0.12.1
