End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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 +1,71 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_Mobilite_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_Mobilite_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: 0.1036
+- F1 Weighted: 0.9654
+
+## 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 0.9387        | 1.0   | 215  | 0.5420          | 0.7745      |
+| 0.462         | 2.0   | 430  | 0.2956          | 0.8519      |
+| 0.2859        | 3.0   | 645  | 0.2135          | 0.8941      |
+| 0.208         | 4.0   | 860  | 0.1591          | 0.9349      |
+| 0.1652        | 5.0   | 1075 | 0.1513          | 0.9327      |
+| 0.1366        | 6.0   | 1290 | 0.1273          | 0.9509      |
+| 0.1177        | 7.0   | 1505 | 0.1197          | 0.9535      |
+| 0.1047        | 8.0   | 1720 | 0.1088          | 0.9616      |
+| 0.0977        | 9.0   | 1935 | 0.1076          | 0.9616      |
+| 0.0918        | 10.0  | 2150 | 0.1036          | 0.9654      |
+
+
+### Framework versions
+
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

runs/Sep08_10-31-49_f24957ca6da4/events.out.tfevents.1757327514.f24957ca6da4.370.0

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special_tokens_map.json

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tokenizer_config.json

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