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my_awesome_eli5_mlm_model
shyam-incedoinc/my_awesome_eli5_mlm_model
my_awesome_eli5_mlm_model is a fill-mask model from shyam-incedoinc. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Oct 14, 2023
- Updated
- Oct 14, 2023
- SHA
- 7e3a12b7
Try a prompt
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. -->
my_awesome_eli5_mlm_model
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8642
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 64 | 1.9911 |
| No log | 2.0 | 128 | 2.0413 |
| No log | 3.0 | 192 | 1.8887 |
| No log | 4.0 | 256 | 1.8567 |
| No log | 5.0 | 320 | 1.9673 |
| No log | 6.0 | 384 | 1.9546 |
| No log | 7.0 | 448 | 1.8128 |
| 2.0263 | 8.0 | 512 | 1.9133 |
| 2.0263 | 9.0 | 576 | 1.9318 |
| 2.0263 | 10.0 | 640 | 1.8511 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Oct 14, 2023
- Updated
- Oct 14, 2023