End of training

.gitattributes

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README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_Energie_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_Energie_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: 0.1473
+- F1 Weighted: 0.9406
+
+## 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-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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 0.8088        | 1.0   | 402  | 0.4611          | 0.7347      |
+| 0.4222        | 2.0   | 804  | 0.3283          | 0.8228      |
+| 0.3117        | 3.0   | 1206 | 0.2786          | 0.8490      |
+| 0.2502        | 4.0   | 1608 | 0.2368          | 0.8758      |
+| 0.2054        | 5.0   | 2010 | 0.2167          | 0.8865      |
+| 0.17          | 6.0   | 2412 | 0.1851          | 0.9109      |
+| 0.1448        | 7.0   | 2814 | 0.1787          | 0.9166      |
+| 0.1262        | 8.0   | 3216 | 0.1673          | 0.9235      |
+| 0.1099        | 9.0   | 3618 | 0.1679          | 0.9220      |
+| 0.0961        | 10.0  | 4020 | 0.1564          | 0.9334      |
+| 0.0871        | 11.0  | 4422 | 0.1538          | 0.9331      |
+| 0.0773        | 12.0  | 4824 | 0.1482          | 0.9390      |
+| 0.0712        | 13.0  | 5226 | 0.1549          | 0.9334      |
+| 0.0654        | 14.0  | 5628 | 0.1482          | 0.9410      |
+| 0.0637        | 15.0  | 6030 | 0.1473          | 0.9406      |
+
+
+### Framework versions
+
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

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tokenizer_config.json

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