<!-- 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. -->
YetAnotherTaskParaphraser
This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3493
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: 6e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.79 | 3 | 3.6387 |
| No log | 1.84 | 7 | 3.5668 |
| No log | 2.89 | 11 | 3.5129 |
| No log | 3.95 | 15 | 3.4733 |
| No log | 5.0 | 19 | 3.4407 |
| No log | 5.79 | 22 | 3.4195 |
| No log | 6.84 | 26 | 3.3978 |
| No log | 7.89 | 30 | 3.3849 |
| No log | 8.95 | 34 | 3.3749 |
| No log | 10.0 | 38 | 3.3666 |
| No log | 10.79 | 41 | 3.3617 |
| No log | 11.84 | 45 | 3.3566 |
| No log | 12.89 | 49 | 3.3531 |
| No log | 13.95 | 53 | 3.3508 |
| No log | 15.0 | 57 | 3.3496 |
| No log | 15.79 | 60 | 3.3493 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
