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gpt2_medium_EN_superbpe_32768_parallel3_42
parallelm/gpt2_medium_EN_superbpe_32768_parallel3_42
gpt2_medium_EN_superbpe_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 16, 2026
- Updated
- Feb 16, 2026
- SHA
- e992b5ff
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_medium_EN_superbpe_32768_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3939
- Accuracy: 0.3745
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 |
|---|---|---|---|---|
| 3.9125 | 1.0 | 23736 | 3.8390 | 0.3147 |
| 3.7116 | 2.0 | 47472 | 3.6638 | 0.3352 |
| 3.6035 | 3.0 | 71208 | 3.5796 | 0.3465 |
| 3.5294 | 4.0 | 94944 | 3.5264 | 0.3533 |
| 3.4676 | 5.0 | 118680 | 3.4875 | 0.3586 |
| 3.4154 | 6.0 | 142416 | 3.4577 | 0.3634 |
| 3.3692 | 7.0 | 166152 | 3.4349 | 0.3671 |
| 3.3247 | 8.0 | 189888 | 3.4150 | 0.3710 |
| 3.282 | 9.0 | 213624 | 3.4011 | 0.3730 |
| 3.2435 | 10.0 | 237360 | 3.3939 | 0.3745 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026