distilbert-base-uncased-sentiment-reddit-crypto

This model is a fine-tuned version of distilbert-base-uncased on the crypto-related reddit comments dataset. It achieves the following results on the evaluation set:

• Loss: 0.3070
• Accuracy: 0.8915

Accuracy on the final test set was: 0.8641

Training and evaluation data

Training and validation data collected from 2 sources:

1. Kaggle reddit cryptocurrency posts and comments
2. Kaggle reddit cryptocurrency related posts from various subreddits. Comments from subreddits: 'cryptocurrency', 'bitcoin', 'ethereum', 'dogecoin' were extracted.

Final test data source is from https://www.surgehq.ai/datasets/crypto-sentiment-dataset.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2823	1.0	5109	0.2658	0.8840
0.1905	2.0	10218	0.3070	0.8915

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2