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gpt2_small_TR_bpe_65536_parallel10_42
parallelm/gpt2_small_TR_bpe_65536_parallel10_42
gpt2_small_TR_bpe_65536_parallel10_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
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- f7c01871
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_TR_bpe_65536_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1950
- Accuracy: 0.4039
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 |
|---|---|---|---|---|
| 6.4198 | 1.0 | 1376 | 5.1981 | 0.3541 |
| 5.1906 | 2.0 | 2752 | 4.7629 | 0.3709 |
| 4.6587 | 3.0 | 4128 | 4.5590 | 0.3811 |
| 4.5225 | 4.0 | 5504 | 4.4362 | 0.3883 |
| 4.4265 | 5.0 | 6880 | 4.3496 | 0.3934 |
| 4.2831 | 6.0 | 8256 | 4.2901 | 0.3974 |
| 4.2261 | 7.0 | 9632 | 4.2475 | 0.3999 |
| 4.1541 | 8.0 | 11008 | 4.2187 | 0.4018 |
| 4.1168 | 9.0 | 12384 | 4.2015 | 0.4034 |
| 4.099 | 10.0 | 13760 | 4.1950 | 0.4039 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.9.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025