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gpt2_small_AR_unigram_65536_parallel3_42
parallelm/gpt2_small_AR_unigram_65536_parallel3_42
gpt2_small_AR_unigram_65536_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 8, 2026
- Updated
- Feb 8, 2026
- SHA
- 39229789
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_unigram_65536_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3967
- Accuracy: 0.3949
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 |
|---|---|---|---|---|
| 3.8715 | 1.0 | 27788 | 3.8019 | 0.3521 |
| 3.691 | 2.0 | 55576 | 3.6414 | 0.3670 |
| 3.6035 | 3.0 | 83364 | 3.5643 | 0.3749 |
| 3.5461 | 4.0 | 111152 | 3.5168 | 0.3799 |
| 3.5082 | 5.0 | 138940 | 3.4840 | 0.3835 |
| 3.4704 | 6.0 | 166728 | 3.4572 | 0.3866 |
| 3.4416 | 7.0 | 194516 | 3.4358 | 0.3897 |
| 3.4175 | 8.0 | 222304 | 3.4195 | 0.3927 |
| 3.3934 | 9.0 | 250092 | 3.4049 | 0.3936 |
| 3.3706 | 10.0 | 277880 | 3.3967 | 0.3949 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 8, 2026
- Updated
- Feb 8, 2026