metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
base_model: Prasadrao/roberta-large-go-emotions
model-index:
- name: roberta-large-go-emotions_v2
results: []
roberta-large-go-emotions_v2
This model is a fine-tuned version of Prasadrao/roberta-large-go-emotions on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0952
- Accuracy: 0.4613
- Precision: 0.5326
- Recall: 0.5126
- F1: 0.5165
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 679 | 0.0844 | 0.4552 | 0.5190 | 0.5026 | 0.4984 |
| 0.0647 | 2.0 | 1358 | 0.0866 | 0.4449 | 0.5308 | 0.5100 | 0.5063 |
| 0.0647 | 3.0 | 2037 | 0.0898 | 0.4471 | 0.5261 | 0.5253 | 0.5166 |
| 0.0473 | 4.0 | 2716 | 0.0952 | 0.4613 | 0.5326 | 0.5126 | 0.5165 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1