End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_RSE_MultiLabel_08092025
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# e5_RSE_MultiLabel_08092025
+
+This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2268
+- F1 Weighted: 0.8908
+
+## 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: 3e-06
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 1.2037        | 1.0   | 178  | 0.9085          | 0.5503      |
+| 1.0769        | 2.0   | 356  | 0.6310          | 0.6213      |
+| 0.8062        | 3.0   | 534  | 0.4692          | 0.7237      |
+| 0.7147        | 4.0   | 712  | 0.3907          | 0.7807      |
+| 0.6277        | 5.0   | 890  | 0.3466          | 0.8033      |
+| 0.6465        | 6.0   | 1068 | 0.3208          | 0.8187      |
+| 0.5379        | 7.0   | 1246 | 0.3005          | 0.8303      |
+| 0.5094        | 8.0   | 1424 | 0.2770          | 0.8453      |
+| 0.4985        | 9.0   | 1602 | 0.2618          | 0.8601      |
+| 0.4503        | 10.0  | 1780 | 0.2474          | 0.8701      |
+| 0.4535        | 11.0  | 1958 | 0.2471          | 0.8728      |
+| 0.4743        | 12.0  | 2136 | 0.2383          | 0.8768      |
+| 0.4034        | 13.0  | 2314 | 0.2395          | 0.8779      |
+| 0.3987        | 14.0  | 2492 | 0.2304          | 0.8839      |
+| 0.3973        | 15.0  | 2670 | 0.2309          | 0.8848      |
+| 0.362         | 16.0  | 2848 | 0.2229          | 0.8923      |
+| 0.3669        | 17.0  | 3026 | 0.2189          | 0.8928      |
+| 0.3504        | 18.0  | 3204 | 0.2245          | 0.8905      |
+| 0.3982        | 19.0  | 3382 | 0.2268          | 0.8908      |
+
+
+### Framework versions
+
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

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