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--- |
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license: apache-2.0 |
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base_model: mnaylor/mega-base-wikitext |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: mega-base-multiple-choice-fp16-v4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mega-base-multiple-choice-fp16-v4 |
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This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6932 |
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- Accuracy: 0.4964 |
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- Precision: 0.4964 |
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- Recall: 0.5023 |
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- F1: 0.4993 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1024 |
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- eval_batch_size: 1024 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 24000 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| No log | 1.0 | 34 | 0.6932 | 0.4970 | 0.4971 | 0.5023 | 0.4997 | |
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| No log | 2.0 | 68 | 0.6932 | 0.4975 | 0.4975 | 0.5026 | 0.5001 | |
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| No log | 3.0 | 102 | 0.6932 | 0.4974 | 0.4974 | 0.5020 | 0.4997 | |
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| No log | 4.0 | 136 | 0.6932 | 0.4995 | 0.4995 | 0.5043 | 0.5019 | |
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| No log | 5.0 | 170 | 0.6932 | 0.4975 | 0.4975 | 0.5023 | 0.4999 | |
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| No log | 6.0 | 204 | 0.6932 | 0.4987 | 0.4987 | 0.5043 | 0.5015 | |
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| No log | 7.0 | 238 | 0.6932 | 0.4960 | 0.4961 | 0.5026 | 0.4993 | |
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| No log | 8.0 | 272 | 0.6932 | 0.4967 | 0.4967 | 0.5036 | 0.5002 | |
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| No log | 9.0 | 306 | 0.6932 | 0.4965 | 0.4966 | 0.5 | 0.4983 | |
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| No log | 10.0 | 340 | 0.6932 | 0.4964 | 0.4964 | 0.5023 | 0.4993 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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