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Model: NastasiaM/mbert-loraxs-qa-vanilla
Source: Original Platform

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- base_model:adapter:bert-base-multilingual-cased
+- lora
+- transformers
+metrics:
+- f1
+model-index:
+- name: mbert-loraxs-qa-vanilla
+  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. -->
+
+# mbert-loraxs-qa-vanilla
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4437
+- Exact Match: 55.68
+- F1: 70.3954
+
+## 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: 16
+- eval_batch_size: 16
+- 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
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1      |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
+| 1.6012        | 1.0   | 634  | 1.6034          | 52.8        | 66.3884 |
+| 1.5347        | 2.0   | 1268 | 1.5703          | 54.16       | 67.8105 |
+| 1.5039        | 3.0   | 1902 | 1.4684          | 55.12       | 69.1541 |
+| 1.4706        | 4.0   | 2536 | 1.4466          | 55.68       | 69.7596 |
+| 1.4197        | 5.0   | 3170 | 1.4419          | 56.48       | 70.7228 |
+| 1.3971        | 6.0   | 3804 | 1.4516          | 55.76       | 70.6580 |
+| 1.3627        | 7.0   | 4438 | 1.4437          | 55.68       | 70.3954 |
+
+
+### Framework versions
+
+- PEFT 0.19.1
+- Transformers 5.9.0
+- Pytorch 2.11.0+cu128
+- Datasets 4.8.5
+- Tokenizers 0.22.2