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molgenscuffed_broken_moardata_moreepochs_moredropout_moredecay
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6007
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: 0.0004
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.0234 | 0.34 | 1000 | 0.8303 |
0.7918 | 0.68 | 2000 | 0.7346 |
0.7331 | 1.02 | 3000 | 0.6994 |
0.7026 | 1.36 | 4000 | 0.6772 |
0.6823 | 1.7 | 5000 | 0.6612 |
0.6649 | 2.04 | 6000 | 0.6448 |
0.6464 | 2.38 | 7000 | 0.6317 |
0.6336 | 2.72 | 8000 | 0.6202 |
0.6201 | 3.06 | 9000 | 0.6115 |
0.6047 | 3.4 | 10000 | 0.6041 |
0.5997 | 3.74 | 11000 | 0.6007 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3