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--- |
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base_model: /gpfs/home/ikuzmin/hier-bert-pytorch/data/hier-model |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: hier-bert-i3-mlm2 |
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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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# hier-bert-i3-mlm2 |
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This model is a fine-tuned version of [/gpfs/home/ikuzmin/hier-bert-pytorch/data/hier-model](https://huggingface.co//gpfs/home/ikuzmin/hier-bert-pytorch/data/hier-model) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2929 |
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- Accuracy: 0.5612 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 16 |
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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_ratio: 0.5 |
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- training_steps: 50000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.9488 | 1.55 | 25000 | 2.7667 | 0.4935 | |
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| 2.4233 | 3.1 | 50000 | 2.2922 | 0.5612 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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