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my_awesome_eli5_mlm_model_eran_t_imdb_new
Erantr1/my_awesome_eli5_mlm_model_eran_t_imdb_new
my_awesome_eli5_mlm_model_eran_t_imdb_new is a fill-mask model from Erantr1. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 16, 2024
- Updated
- May 16, 2024
- SHA
- 364e626e
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_eran_t_imdb_new
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4824
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6871 | 1.0 | 8996 | 0.6111 |
| 0.5798 | 2.0 | 17992 | 0.5212 |
| 0.5234 | 3.0 | 26988 | 0.4837 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 16, 2024
- Updated
- May 16, 2024