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gpt2_medium_AR_bpe_65536_parallel3_42
parallelm/gpt2_medium_AR_bpe_65536_parallel3_42
gpt2_medium_AR_bpe_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 22, 2026
- Updated
- Feb 22, 2026
- SHA
- 60551d67
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_AR_bpe_65536_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2869
- Accuracy: 0.4232
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 |
|---|---|---|---|---|
| 3.7344 | 1.0 | 27570 | 3.6871 | 0.3754 |
| 3.5495 | 2.0 | 55140 | 3.5265 | 0.3918 |
| 3.4499 | 3.0 | 82710 | 3.4467 | 0.4004 |
| 3.3813 | 4.0 | 110280 | 3.3994 | 0.4063 |
| 3.3258 | 5.0 | 137850 | 3.3672 | 0.4108 |
| 3.2812 | 6.0 | 165420 | 3.3409 | 0.4140 |
| 3.238 | 7.0 | 192990 | 3.3206 | 0.4169 |
| 3.1927 | 8.0 | 220560 | 3.3047 | 0.4196 |
| 3.1511 | 9.0 | 248130 | 3.2927 | 0.4220 |
| 3.1132 | 10.0 | 275700 | 3.2869 | 0.4232 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 22, 2026
- Updated
- Feb 22, 2026