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rotating-head-lr-gpt2-medium-wikitext
BluebrainAI/rotating-head-lr-gpt2-medium-wikitext
rotating-head-lr-gpt2-medium-wikitext is a feature extraction model from BluebrainAI. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- rotating-head-gpt2
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025
- SHA
- a86a54ab
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. -->
rotating-head-lr-gpt2-medium-wikitext
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2045
- Accuracy: 0.4189
- Perplexity: 24.6437
- Bleu: 0.1335
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Perplexity | Bleu |
|---|---|---|---|---|---|---|
| 5.9064 | 0.2806 | 500 | 5.7488 | 0.2222 | 313.8089 | 0.0490 |
| 4.8623 | 0.5612 | 1000 | 4.7435 | 0.2805 | 114.8386 | 0.0709 |
| 4.3005 | 0.8418 | 1500 | 4.2307 | 0.3177 | 68.7669 | 0.0831 |
| 3.9583 | 1.1223 | 2000 | 3.9262 | 0.3464 | 50.7124 | 0.0916 |
| 3.7778 | 1.4029 | 2500 | 3.7522 | 0.3627 | 42.6128 | 0.1011 |
| 3.6805 | 1.6835 | 3000 | 3.6366 | 0.3738 | 37.9607 | 0.1052 |
| 3.5792 | 1.9641 | 3500 | 3.5434 | 0.3833 | 34.5829 | 0.1103 |
| 3.4655 | 2.2447 | 4000 | 3.4749 | 0.3900 | 32.2934 | 0.1168 |
| 3.4063 | 2.5253 | 4500 | 3.4235 | 0.3950 | 30.6766 | 0.1217 |
| 3.376 | 2.8058 | 5000 | 3.3767 | 0.4000 | 29.2745 | 0.1242 |
| 3.2591 | 3.0864 | 5500 | 3.3395 | 0.4039 | 28.2042 | 0.1258 |
| 3.2488 | 3.3670 | 6000 | 3.3072 | 0.4070 | 27.3098 | 0.1278 |
| 3.2244 | 3.6476 | 6500 | 3.2740 | 0.4109 | 26.4161 | 0.1309 |
| 3.1981 | 3.9282 | 7000 | 3.2526 | 0.4128 | 25.8571 | 0.1290 |
| 3.1294 | 4.2088 | 7500 | 3.2318 | 0.4156 | 25.3256 | 0.1293 |
| 3.0899 | 4.4893 | 8000 | 3.2180 | 0.4169 | 24.9787 | 0.1296 |
| 3.0993 | 4.7699 | 8500 | 3.2045 | 0.4189 | 24.6437 | 0.1335 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Feature Extraction
- Library
- transformers
- Type
- rotating-head-gpt2
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025