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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- c4 |
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metrics: |
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- accuracy |
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model-index: |
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- name: longformer-predicted-pos-encodings-4096-2L |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: c4 en |
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type: c4 |
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args: en |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6237216312108128 |
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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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# longformer-predicted-pos-encodings-4096-2L |
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This model is a fine-tuned version of [data/models/longformer-predicted-pos-encodings-4096](https://huggingface.co/data/models/longformer-predicted-pos-encodings-4096) on the c4 en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0208 |
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- Accuracy: 0.6237 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 1.0 |
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- training_steps: 6400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.2154 | 1.0 | 6400 | 2.0203 | 0.6238 | |
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### Framework versions |
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- Transformers 4.20.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.12.1 |
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