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gpt2_small_AR_bpe_32768_parallel3_42
parallelm/gpt2_small_AR_bpe_32768_parallel3_42
gpt2_small_AR_bpe_32768_parallel3_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
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- 5d909883
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_AR_bpe_32768_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3140
- Accuracy: 0.4096
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 |
|---|---|---|---|---|
| 3.7835 | 1.0 | 28760 | 3.7142 | 0.3653 |
| 3.6134 | 2.0 | 57520 | 3.5555 | 0.3802 |
| 3.5267 | 3.0 | 86280 | 3.4812 | 0.3889 |
| 3.4726 | 4.0 | 115040 | 3.4348 | 0.3945 |
| 3.4311 | 5.0 | 143800 | 3.4021 | 0.3982 |
| 3.401 | 6.0 | 172560 | 3.3752 | 0.4008 |
| 3.3707 | 7.0 | 201320 | 3.3541 | 0.4036 |
| 3.3472 | 8.0 | 230080 | 3.3380 | 0.4064 |
| 3.3255 | 9.0 | 258840 | 3.3233 | 0.4081 |
| 3.3077 | 10.0 | 287600 | 3.3140 | 0.4096 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026