tinygpt_arxiv
This model is trained from scratch using AIGym/TinyGPT2-81M on article abstracts from arxiv. It achieves the following results on the evaluation set:
- Loss: 5.4123
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: 0.0005
- 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: 500
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5186 | 17.2414 | 1000 | 4.0977 |
| 0.5985 | 34.4828 | 2000 | 5.4123 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
AIGym/TinyGPT2-81M