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model_large_batch-smalll-emotion – AI Model by Lareb00 | AlphaNeural AI
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Lareb00
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model_large_batch-smalll-emotion
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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model_large_batch-smalll-emotion
This model is a fine-tuned version of
lareb00/model_large_batch
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6756
Accuracy: 0.7075
F1: 0.7061
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: 1e-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
0.9968
78
0.6935
0.7085
0.7067
No log
1.9936
156
0.6789
0.7075
0.7060
No log
2.9904
234
0.6756
0.7075
0.7061
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
