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EcoBERT-Scratch
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2594
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: 5e-05
- train_batch_size: 5
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.2844 | 0.66 | 500 | 6.2584 |
6.2842 | 1.32 | 1000 | 6.2624 |
6.2893 | 1.98 | 1500 | 6.2782 |
6.2962 | 2.64 | 2000 | 6.2582 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2