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YetAnotherTimelistGPT
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: 3.5511
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 | 0.81 | 3 | 3.7528 |
| No log | 1.89 | 7 | 3.7051 |
| No log | 2.97 | 11 | 3.6694 |
| No log | 3.78 | 14 | 3.6498 |
| No log | 4.86 | 18 | 3.6306 |
| No log | 5.95 | 22 | 3.6157 |
| No log | 6.76 | 25 | 3.6059 |
| No log | 7.84 | 29 | 3.5949 |
| No log | 8.92 | 33 | 3.5857 |
| No log | 10.0 | 37 | 3.5773 |
| No log | 10.81 | 40 | 3.5714 |
| No log | 11.89 | 44 | 3.5643 |
| No log | 12.97 | 48 | 3.5583 |
| No log | 13.78 | 51 | 3.5550 |
| No log | 14.86 | 55 | 3.5524 |
| No log | 15.95 | 59 | 3.5512 |
| No log | 16.22 | 60 | 3.5511 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
