Prahith/my_awesome_eli5_mlm_model
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.8639
- Validation Loss: 0.7876
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
1.7024 | 1.3578 | 0 |
1.3743 | 1.2240 | 1 |
1.2305 | 1.1160 | 2 |
1.1437 | 1.0130 | 3 |
1.0858 | 0.9542 | 4 |
0.9998 | 0.9088 | 5 |
0.9549 | 0.8946 | 6 |
0.9404 | 0.8457 | 7 |
0.9150 | 0.8061 | 8 |
0.8639 | 0.7876 | 9 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Prahith/my_awesome_eli5_mlm_model
Base model
distilbert/distilroberta-base