my_awesome_eli5_clm-model
This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7020
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 | 5 | 3.7450 |
No log | 2.0 | 10 | 3.4688 |
No log | 3.0 | 15 | 3.2667 |
No log | 4.0 | 20 | 3.1067 |
No log | 5.0 | 25 | 2.9798 |
No log | 6.0 | 30 | 2.8797 |
No log | 7.0 | 35 | 2.8035 |
No log | 8.0 | 40 | 2.7485 |
No log | 9.0 | 45 | 2.7147 |
No log | 10.0 | 50 | 2.7020 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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