End of training

.gitattributes

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+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_Eau_MultiLabel_Simple_v2
+  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_Eau_MultiLabel_Simple_v2
+
+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: 0.2521
+- F1 Weighted: 0.9002
+
+## 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 1.0079        | 1.0   | 148  | 0.7728          | 0.6280      |
+| 0.7019        | 2.0   | 296  | 0.4871          | 0.7514      |
+| 0.4819        | 3.0   | 444  | 0.3662          | 0.8241      |
+| 0.3789        | 4.0   | 592  | 0.3188          | 0.8487      |
+| 0.3105        | 5.0   | 740  | 0.2885          | 0.8662      |
+| 0.2679        | 6.0   | 888  | 0.2747          | 0.8797      |
+| 0.23          | 7.0   | 1036 | 0.2605          | 0.8822      |
+| 0.2067        | 8.0   | 1184 | 0.2539          | 0.8880      |
+| 0.1868        | 9.0   | 1332 | 0.2489          | 0.8940      |
+| 0.1676        | 10.0  | 1480 | 0.2507          | 0.8980      |
+| 0.1545        | 11.0  | 1628 | 0.2518          | 0.9008      |
+| 0.1429        | 12.0  | 1776 | 0.2521          | 0.9002      |
+
+
+### Framework versions
+
+- Transformers 4.53.2
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.2

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