finetuning-emotion-model-f7bshardquant2

This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 1.4840
• Accuracy: 0.4625
• F1: 0.3717

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4889	1.0	8000	1.4840	0.4625	0.3717

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1