metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-analysis-model-team-28
results: []
finetuning-sentiment-analysis-model-team-28
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6302
- Accuracy: 0.7186
- F1: 0.8276
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4621 | 1.0 | 175 | 0.5107 | 0.7843 | 0.8763 |
| 0.4787 | 2.0 | 350 | 0.6382 | 0.7743 | 0.8715 |
| 0.4371 | 3.0 | 525 | 0.6302 | 0.7186 | 0.8276 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2