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gpt2_small_EN_bpe_81920_parallel10_42
parallelm/gpt2_small_EN_bpe_81920_parallel10_42
gpt2_small_EN_bpe_81920_parallel10_42 is a machine learning model from parallelm. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025
- SHA
- 41f6b774
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gpt2_small_EN_bpe_81920_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2734
- Accuracy: 0.4149
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.4947 | 1.0 | 1750 | 3.8047 | 0.3697 |
| 3.7136 | 2.0 | 3500 | 3.5685 | 0.3870 |
| 3.5247 | 3.0 | 5250 | 3.4614 | 0.3968 |
| 3.4217 | 4.0 | 7000 | 3.3953 | 0.4031 |
| 3.3664 | 5.0 | 8750 | 3.3529 | 0.4064 |
| 3.3051 | 6.0 | 10500 | 3.3227 | 0.4099 |
| 3.2574 | 7.0 | 12250 | 3.3017 | 0.4120 |
| 3.2195 | 8.0 | 14000 | 3.2867 | 0.4134 |
| 3.1924 | 9.0 | 15750 | 3.2773 | 0.4147 |
| 3.1704 | 10.0 | 17500 | 3.2734 | 0.4149 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025