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gpt2_medium_AR_bpe_32768_parallel3_42
parallelm/gpt2_medium_AR_bpe_32768_parallel3_42
gpt2_medium_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 13, 2026
- Updated
- Feb 13, 2026
- SHA
- eda115a6
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_32768_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1656
- Accuracy: 0.4306
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 |
|---|---|---|---|---|
| 3.6023 | 1.0 | 28760 | 3.5538 | 0.3818 |
| 3.4311 | 2.0 | 57520 | 3.3993 | 0.3988 |
| 3.3355 | 3.0 | 86280 | 3.3269 | 0.4064 |
| 3.2714 | 4.0 | 115040 | 3.2814 | 0.4124 |
| 3.2182 | 5.0 | 143800 | 3.2479 | 0.4166 |
| 3.1758 | 6.0 | 172560 | 3.2212 | 0.4208 |
| 3.133 | 7.0 | 201320 | 3.2003 | 0.4242 |
| 3.095 | 8.0 | 230080 | 3.1844 | 0.4272 |
| 3.0578 | 9.0 | 258840 | 3.1731 | 0.4290 |
| 3.0241 | 10.0 | 287600 | 3.1656 | 0.4306 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026