test_emotion_trained_test

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

• Loss: 0.5866
• F1: 0.7015

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: 2.458132814624325e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 0
• 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	F1
No log	1.0	51	0.7877	0.5569
No log	2.0	102	0.6188	0.6937
No log	3.0	153	0.5969	0.7068
No log	4.0	204	0.5866	0.7015

Framework versions

• Transformers 4.12.5
• Pytorch 1.9.1
• Datasets 1.16.1
• Tokenizers 0.10.3