mega-base-multiple-choice-fp16-v3
This model is a fine-tuned version of mnaylor/mega-base-wikitext on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.4974
- Precision: 0.4974
- Recall: 0.5020
- F1: 0.4997
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: 1024
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
No log | 1.0 | 34 | 0.6932 | 0.4970 | 0.4971 | 0.5023 | 0.4997 |
No log | 2.0 | 68 | 0.6932 | 0.4975 | 0.4975 | 0.5026 | 0.5001 |
No log | 3.0 | 102 | 0.6932 | 0.4974 | 0.4974 | 0.5020 | 0.4997 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Xenopilus/mega-base-multiple-choice-fp16-v3
Base model
mnaylor/mega-base-wikitext