metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: SentimentT2
results: []
SentimentT2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8793
- Accuracy: 0.7143
- F1: 0.7099
- Auc Roc: 0.8948
- Log Loss: 1.8793
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 1.7750 | 0.7429 | 0.7448 | 0.8959 | 1.7750 |
| No log | 2.0 | 16 | 1.9519 | 0.6857 | 0.6896 | 0.8992 | 1.9519 |
| No log | 3.0 | 24 | 1.8079 | 0.7286 | 0.7293 | 0.8990 | 1.8079 |
| No log | 4.0 | 32 | 1.8638 | 0.6714 | 0.6745 | 0.8975 | 1.8638 |
| No log | 5.0 | 40 | 1.9660 | 0.6714 | 0.6656 | 0.9049 | 1.9660 |
| No log | 6.0 | 48 | 1.9401 | 0.7143 | 0.7042 | 0.8977 | 1.9401 |
| No log | 7.0 | 56 | 1.9271 | 0.7 | 0.6934 | 0.8911 | 1.9271 |
| No log | 8.0 | 64 | 1.9025 | 0.7 | 0.6930 | 0.8896 | 1.9025 |
| No log | 9.0 | 72 | 1.8840 | 0.7143 | 0.7099 | 0.8942 | 1.8840 |
| No log | 10.0 | 80 | 1.8793 | 0.7143 | 0.7099 | 0.8948 | 1.8793 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0