Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: lyle49/xlmr-vinli-finetune
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: xlmr-vinli-finetune_finetuned
+  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. -->
+
+# xlmr-vinli-finetune_finetuned
+
+This model is a fine-tuned version of [lyle49/xlmr-vinli-finetune](https://huggingface.co/lyle49/xlmr-vinli-finetune) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8505
+- Accuracy: 0.7443
+- F1 Macro: 0.7439
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- 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
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.7981        | 1.0   | 175  | 0.7080          | 0.7214   | 0.7243   |
+| 0.6215        | 2.0   | 350  | 0.6871          | 0.7429   | 0.7403   |
+| 0.499         | 3.0   | 525  | 0.7057          | 0.7664   | 0.7681   |
+| 0.3883        | 4.0   | 700  | 0.7750          | 0.7529   | 0.7542   |
+| 0.333         | 5.0   | 875  | 0.8505          | 0.7443   | 0.7439   |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2

model.safetensors

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