Update README.md

README.md

@@ -14,56 +14,4 @@ model-index:
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-# project-luminous-arc-v2
-
-This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6512
-- Accuracy: 0.7411
-- F1 Macro: 0.5154
-- F1 Weighted: 0.7034
-- Precision Macro: 0.5975
-- Recall Macro: 0.5491
-
-## 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: 16
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:------------:|
-| 0.6566        | 1.0   | 2549 | 0.6620          | 0.7335   | 0.4838   | 0.6830      | 0.4553          | 0.5163       |
-| 0.6216        | 2.0   | 5098 | 0.6372          | 0.7428   | 0.4981   | 0.6959      | 0.5683          | 0.5303       |
-| 0.5859        | 3.0   | 7647 | 0.6512          | 0.7411   | 0.5154   | 0.7034      | 0.5975          | 0.5491       |
-
-
-### Framework versions
-
-- Transformers 4.51.3
-- Pytorch 2.6.0+cu124
-- Datasets 3.6.0
-- Tokenizers 0.21.1
+# project-luminous-arc-v2