xsum-gpt2-domain-bart
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9826
- Ppl: 1278.8025
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 22554
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Ppl |
|---|---|---|---|---|
| 3.7059 | 1.2207 | 4000 | 3.5548 | 4819.9339 |
| 3.3851 | 2.4414 | 8000 | 3.3082 | 2703.9901 |
| 3.263 | 3.6620 | 12000 | 3.2025 | 2115.4674 |
| 3.1917 | 4.8827 | 16000 | 3.1383 | 1821.0007 |
| 3.1184 | 6.1034 | 20000 | 3.0980 | 1660.1856 |
| 3.0568 | 7.3241 | 24000 | 3.0679 | 1552.5692 |
| 3.0286 | 8.5447 | 28000 | 3.0380 | 1447.4888 |
| 3.0013 | 9.7654 | 32000 | 3.0155 | 1375.3106 |
| 2.9727 | 10.9861 | 36000 | 2.9992 | 1326.5168 |
| 2.9351 | 12.2068 | 40000 | 2.9897 | 1298.5084 |
| 2.9263 | 13.4274 | 44000 | 2.9843 | 1283.6903 |
| 2.9208 | 14.6481 | 48000 | 2.9826 | 1278.8025 |
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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