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finetuned_llm_for_sentiment_analysis – AI Model by unnatiag | AlphaNeural AI
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unnatiag
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finetuned_llm_for_sentiment_analysis
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
ahmedrachid/FinancialBERT-Sentiment-Analysis
finetune
autotrain_compatible
endpoints_compatible
us
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finetuned_llm_for_sentiment_analysis
This model is a fine-tuned version of
ahmedrachid/FinancialBERT-Sentiment-Analysis
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2301
Accuracy: 0.9125
Model description
Sentiments:
0: "SADNESS"
1: "JOY"
2: "LOVE"
3: "ANGER"
4: "FEAR"
5: "SURPRISE"
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3986
1.0
1000
0.2892
0.9025
0.1802
2.0
2000
0.2301
0.9125
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
