End of training

.gitattributes

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

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_Dechets_MultiLabel_11082025
+  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_Dechets_MultiLabel_11082025
+
+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: 0.1865
+- F1 Weighted: 0.9369
+
+## 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 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 0.9053        | 1.0   | 181  | 0.5982          | 0.7363      |
+| 0.5249        | 2.0   | 362  | 0.3559          | 0.8555      |
+| 0.3522        | 3.0   | 543  | 0.2938          | 0.8827      |
+| 0.277         | 4.0   | 724  | 0.2611          | 0.9013      |
+| 0.2244        | 5.0   | 905  | 0.2399          | 0.9118      |
+| 0.1936        | 6.0   | 1086 | 0.2483          | 0.9133      |
+| 0.165         | 7.0   | 1267 | 0.2163          | 0.9219      |
+| 0.1422        | 8.0   | 1448 | 0.1924          | 0.9320      |
+| 0.1232        | 9.0   | 1629 | 0.1878          | 0.9361      |
+| 0.1096        | 10.0  | 1810 | 0.1913          | 0.9364      |
+| 0.0975        | 11.0  | 1991 | 0.1865          | 0.9369      |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.4

runs/Aug11_07-29-24_b04dc9864c63/events.out.tfevents.1754897368.b04dc9864c63.167.0

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