metadata
license: apache-2.0
base_model: mnaylor/mega-base-wikitext
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: mega-base-multiple-choice-v1
results: []
mega-base-multiple-choice-v1
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: 0.6933
- Accuracy: 0.5017
- Precision: 0.5087
- Recall: 0.0964
- F1: 0.1620
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: 0.001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 269 | 0.6932 | 0.5058 | 0.5126 | 0.2356 | 0.3229 |
| 0.694 | 2.0 | 538 | 0.6933 | 0.5033 | 0.5195 | 0.0878 | 0.1502 |
| 0.694 | 3.0 | 807 | 0.6933 | 0.5017 | 0.5087 | 0.0964 | 0.1620 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0