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| license: mit | |
| base_model: gpt2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: rus_gpt2_2_epoch | |
| results: [] | |
| <!-- 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. --> | |
| # rus_gpt2_2_epoch | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.7019 | |
| ## 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: 0.005 | |
| - train_batch_size: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 50 | |
| - num_epochs: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:-----:|:---------------:| | |
| | 4.2111 | 0.2411 | 2000 | 3.5603 | | |
| | 3.5259 | 0.4821 | 4000 | 3.3412 | | |
| | 3.3625 | 0.7232 | 6000 | 3.2120 | | |
| | 3.2367 | 0.9642 | 8000 | 3.0991 | | |
| | 3.1018 | 1.2053 | 10000 | 2.9778 | | |
| | 2.9743 | 1.4463 | 12000 | 2.8497 | | |
| | 2.8518 | 1.6874 | 14000 | 2.7453 | | |
| | 2.7705 | 1.9284 | 16000 | 2.7019 | | |
| ### Framework versions | |
| - Transformers 4.42.4 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |