ruDialoGPT-small_10
This model is a fine-tuned version of tinkoff-ai/ruDialoGPT-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4977
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: 8
- 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 | 1.0 | 55 | 1.3283 |
| No log | 2.0 | 110 | 1.2672 |
| No log | 3.0 | 165 | 1.3883 |
| No log | 4.0 | 220 | 1.3489 |
| No log | 5.0 | 275 | 1.4106 |
| No log | 6.0 | 330 | 1.4384 |
| No log | 7.0 | 385 | 1.4511 |
| No log | 8.0 | 440 | 1.4744 |
| No log | 9.0 | 495 | 1.4796 |
| 0.9816 | 10.0 | 550 | 1.4977 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for athugodage/ruDialoGPT-small_10
Base model
t-bank-ai/ruDialoGPT-small