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chat-sentiment-finetuned-English – AI Model by bottaz | AlphaNeural AI
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bottaz
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chat-sentiment-finetuned-English
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
tabularisai/multilingual-sentiment-analysis
finetune
cc-by-nc-4.0
autotrain_compatible
endpoints_compatible
us
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chat-sentiment-finetuned-English
This model is a fine-tuned version of
tabularisai/multilingual-sentiment-analysis
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8225
Accuracy: 0.6932
F1: 0.6947
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
89
0.9510
0.625
0.6122
No log
2.0
178
0.8132
0.6932
0.6970
No log
3.0
267
0.8225
0.6932
0.6947
Framework versions
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
