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roberta-base-description2genre – AI Model by BEE-spoke-data | AlphaNeural AI
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BEE-spoke-data
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roberta-base-description2genre
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transformers
safetensors
roberta
text-classification
genre
books
multi-label
dataset tools
en
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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BEE-spoke-data/roberta-base-description2genre
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2130
F1: 0.6717
Model description
This classifies one or more
genre
labels in a
multi-label
setting for a given book
description
.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-10
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.04
num_epochs: 6.0
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.3118
1.0
62
0.2885
0.3362
0.2676
2.0
124
0.2511
0.4882
0.2325
3.0
186
0.2272
0.6093
0.2127
4.0
248
0.2181
0.6591
0.1978
5.0
310
0.2140
0.6686
0.1817
6.0
372
0.2130
0.6717
Framework versions
Transformers 4.33.3
Pytorch 2.2.0.dev20231001+cu121
Datasets 2.14.5
Tokenizers 0.13.3
