gpt2medium-finetuned
This model is a fine-tuned version of ai-forever/rugpt3medium_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1476
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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0464 | 5.0 | 5 | 2.7436 |
| 2.2106 | 10.0 | 10 | 1.6388 |
| 1.1598 | 15.0 | 15 | 0.6276 |
| 0.3638 | 20.0 | 20 | 0.1913 |
| 0.0696 | 25.0 | 25 | 0.1476 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for C0uchP0tat0/gpt2medium-finetuned
Base model
ai-forever/rugpt3medium_based_on_gpt2