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-fp16-v4
results: []
mega-base-multiple-choice-fp16-v4
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: 0.4964
- Precision: 0.4964
- Recall: 0.5023
- F1: 0.4993
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: 10
- 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 |
| No log | 4.0 | 136 | 0.6932 | 0.4995 | 0.4995 | 0.5043 | 0.5019 |
| No log | 5.0 | 170 | 0.6932 | 0.4975 | 0.4975 | 0.5023 | 0.4999 |
| No log | 6.0 | 204 | 0.6932 | 0.4987 | 0.4987 | 0.5043 | 0.5015 |
| No log | 7.0 | 238 | 0.6932 | 0.4960 | 0.4961 | 0.5026 | 0.4993 |
| No log | 8.0 | 272 | 0.6932 | 0.4967 | 0.4967 | 0.5036 | 0.5002 |
| No log | 9.0 | 306 | 0.6932 | 0.4965 | 0.4966 | 0.5 | 0.4983 |
| No log | 10.0 | 340 | 0.6932 | 0.4964 | 0.4964 | 0.5023 | 0.4993 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0