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group12_mlm_Distilled_Roberta-ft
twburns/group12_mlm_Distilled_Roberta-ft
group12_mlm_Distilled_Roberta-ft is a fill-mask model from twburns. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Nov 11, 2024
- Updated
- Nov 12, 2024
- SHA
- 974a547c
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
group12_mlm_Distilled_Roberta-ft
This model is a fine-tuned version of twburns/group12_mlm_Distilled_Roberta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1576
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6498 | 1.0 | 1563 | 2.4603 |
| 2.5135 | 2.0 | 3126 | 2.3740 |
| 2.4518 | 3.0 | 4689 | 2.3134 |
| 2.3919 | 4.0 | 6252 | 2.2620 |
| 2.3525 | 5.0 | 7815 | 2.2341 |
| 2.3426 | 6.0 | 9378 | 2.2075 |
| 2.3106 | 7.0 | 10941 | 2.1844 |
| 2.2928 | 8.0 | 12504 | 2.1895 |
| 2.2954 | 9.0 | 14067 | 2.1903 |
| 2.2851 | 10.0 | 15630 | 2.1684 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Nov 11, 2024
- Updated
- Nov 12, 2024