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Timelist_large_GPT_from_sber
This model is a fine-tuned version of ai-forever/mGPT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2911
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.98 | 20 | 2.6783 |
| No log | 2.0 | 41 | 2.6656 |
| No log | 2.98 | 61 | 2.9967 |
| No log | 4.0 | 82 | 3.6401 |
| No log | 4.98 | 102 | 4.1389 |
| No log | 6.0 | 123 | 4.5191 |
| No log | 6.98 | 143 | 4.7800 |
| No log | 8.0 | 164 | 5.2258 |
| No log | 8.98 | 184 | 5.3089 |
| No log | 9.76 | 200 | 5.2911 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
