End of training

.gitattributes

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README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-large-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: e5_General_VIDE_10282025
+  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_General_VIDE_10282025
+
+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: 0.1852
+- F1 Weighted: 0.9005
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|
+| 0.5755        | 1.0   | 1047 | 0.2561          | 0.8279      |
+| 0.2543        | 2.0   | 2094 | 0.2168          | 0.8516      |
+| 0.1936        | 3.0   | 3141 | 0.1938          | 0.8736      |
+| 0.1575        | 4.0   | 4188 | 0.1825          | 0.8855      |
+| 0.1322        | 5.0   | 5235 | 0.1761          | 0.8901      |
+| 0.1167        | 6.0   | 6282 | 0.1821          | 0.8965      |
+| 0.1004        | 7.0   | 7329 | 0.1834          | 0.9015      |
+| 0.09          | 8.0   | 8376 | 0.1852          | 0.9005      |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

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special_tokens_map.json

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