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model_large_batch-smalll-emotion
Lareb00/model_large_batch-smalll-emotion
model_large_batch-smalll-emotion is a text classification model from Lareb00. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024
- SHA
- 7b52c834
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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. -->
model_large_batch-smalll-emotion
This model is a fine-tuned version of lareb00/model_large_batch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6756
- Accuracy: 0.7075
- F1: 0.7061
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.9968 | 78 | 0.6935 | 0.7085 | 0.7067 |
| No log | 1.9936 | 156 | 0.6789 | 0.7075 | 0.7060 |
| No log | 2.9904 | 234 | 0.6756 | 0.7075 | 0.7061 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024