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--- |
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license: mit |
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base_model: mikhail-panzo/fil_enhanced_checkpoint |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ceb_full_checkpoint |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ceb_full_checkpoint |
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This model is a fine-tuned version of [mikhail-panzo/fil_enhanced_checkpoint](https://huggingface.co/mikhail-panzo/fil_enhanced_checkpoint) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3917 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4492 | 19.23 | 500 | 0.4096 | |
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| 0.429 | 38.46 | 1000 | 0.3978 | |
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| 0.4188 | 57.69 | 1500 | 0.3947 | |
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| 0.4142 | 76.92 | 2000 | 0.3921 | |
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| 0.4105 | 96.15 | 2500 | 0.3921 | |
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| 0.4081 | 115.38 | 3000 | 0.3914 | |
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| 0.4107 | 134.62 | 3500 | 0.3906 | |
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| 0.406 | 153.85 | 4000 | 0.3917 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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