README.md

metadata

base_model: ybelkada/falcon-7b-sharded-bf16
tags:
  - generated_from_trainer
datasets:
  - emotion
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuning-emotion-model-f7bshardquant
    results: []

finetuning-emotion-model-f7bshardquant

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: 1.4243
• Accuracy: 0.4745
• F1: 0.3945

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
1.4214	1.0	8000	1.4243	0.4745	0.3945

Framework versions

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