finetuning-sentiment-longform-4500
This model is a fine-tuned version of kiddothe2b/longformer-mini-1024 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4095
- Accuracy: 0.8168
- F1: 0.8025
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5864 | 1.0 | 563 | 0.4922 | 0.7614 | 0.7711 |
| 0.4896 | 2.0 | 1126 | 0.4363 | 0.8125 | 0.8120 |
| 0.4403 | 3.0 | 1689 | 0.4095 | 0.8168 | 0.8025 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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