data cleaning and training code
https://github.com/progs2002/StarTrekTNG-ScriptGenerator
star-trek-tng-script-generator
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8459
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.1502 | 0.13 | 500 | 3.0233 |
3.0538 | 0.26 | 1000 | 2.9728 |
2.9951 | 0.38 | 1500 | 2.9437 |
2.9891 | 0.51 | 2000 | 2.9125 |
2.9289 | 0.64 | 2500 | 2.9159 |
2.9091 | 0.77 | 3000 | 2.9008 |
2.8916 | 0.89 | 3500 | 2.8752 |
2.8122 | 1.02 | 4000 | 2.8881 |
2.5224 | 1.15 | 4500 | 2.8896 |
2.5284 | 1.28 | 5000 | 2.8667 |
2.5191 | 1.4 | 5500 | 2.8599 |
2.5119 | 1.53 | 6000 | 2.8488 |
2.4808 | 1.66 | 6500 | 2.8296 |
2.4601 | 1.79 | 7000 | 2.8081 |
2.4331 | 1.91 | 7500 | 2.7993 |
2.3716 | 2.04 | 8000 | 2.8518 |
2.1528 | 2.17 | 8500 | 2.8634 |
2.1276 | 2.3 | 9000 | 2.8617 |
2.1329 | 2.43 | 9500 | 2.8489 |
2.1135 | 2.55 | 10000 | 2.8446 |
2.1259 | 2.68 | 10500 | 2.8461 |
2.1142 | 2.81 | 11000 | 2.8472 |
2.1071 | 2.94 | 11500 | 2.8459 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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