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finetuning-emotion-model-f7bshardquant2 – AI Model by pjherron | AlphaNeural AI
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finetuning-emotion-model-f7bshardquant2
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tensorboard
safetensors
generated_from_trainer
emotion
ybelkada/falcon-7b-sharded-bf16
finetune
us
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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
