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 +1,73 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_Biodiversite_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_Biodiversite_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: 0.1089
+- F1 Weighted: 0.9597
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 0.9101        | 1.0   | 279  | 0.5111          | 0.7380      |
+| 0.4746        | 2.0   | 558  | 0.3218          | 0.8485      |
+| 0.3287        | 3.0   | 837  | 0.2521          | 0.8778      |
+| 0.2518        | 4.0   | 1116 | 0.2044          | 0.9006      |
+| 0.1986        | 5.0   | 1395 | 0.1751          | 0.9190      |
+| 0.1587        | 6.0   | 1674 | 0.1576          | 0.9316      |
+| 0.1317        | 7.0   | 1953 | 0.1398          | 0.9408      |
+| 0.1111        | 8.0   | 2232 | 0.1270          | 0.9464      |
+| 0.0929        | 9.0   | 2511 | 0.1237          | 0.9517      |
+| 0.0818        | 10.0  | 2790 | 0.1211          | 0.9528      |
+| 0.0716        | 11.0  | 3069 | 0.1133          | 0.9570      |
+| 0.0649        | 12.0  | 3348 | 0.1089          | 0.9597      |
+
+
+### Framework versions
+
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

runs/Sep08_08-32-33_20311b7599bd/events.out.tfevents.1757320357.20311b7599bd.1054.0

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