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emoBank_test2_epoch20_batch16_lr1e-5
dgalik/emoBank_test2_epoch20_batch16_lr1e-5
emoBank_test2_epoch20_batch16_lr1e-5 is a machine learning model from dgalik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Aug 8, 2023
- Updated
- Aug 8, 2023
- SHA
- 639fc160
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. -->
emoBank_test2_epoch20_batch16_lr1e-5
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0858
- Mse V: 0.1301
- Mse A: 0.0693
- Mse D: 0.0580
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
- Library
- transformers
- Type
- distilbert
- Created
- Aug 8, 2023
- Updated
- Aug 8, 2023