End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,67 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-qe-v1
+  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. -->
+
+# roberta-base-qe-v1
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0626
+
+## 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-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- 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
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.063         | 0.1004 | 1000  | 0.0816          |
+| 0.062         | 0.2007 | 2000  | 0.0667          |
+| 0.0582        | 0.3011 | 3000  | 0.0622          |
+| 0.0589        | 0.4015 | 4000  | 0.0604          |
+| 0.0576        | 0.5019 | 5000  | 0.0591          |
+| 0.0577        | 0.6022 | 6000  | 0.0597          |
+| 0.0581        | 0.7026 | 7000  | 0.0649          |
+| 0.0582        | 0.8030 | 8000  | 0.0624          |
+| 0.0569        | 0.9033 | 9000  | 0.0625          |
+| 0.0575        | 1.0037 | 10000 | 0.0626          |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.4.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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tokenizer_config.json

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+      "normalized": false,
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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}