End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: xlm-mlm-100-1280
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: TAM-10epoch-MLMMul
+  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. -->
+
+# TAM-10epoch-MLMMul
+
+This model is a fine-tuned version of [xlm-mlm-100-1280](https://huggingface.co/xlm-mlm-100-1280) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0898
+- Accuracy: 0.6981
+
+## 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: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 16   | 1.7050          | 0.1887   |
+| No log        | 2.0   | 32   | 2.0576          | 0.4528   |
+| No log        | 3.0   | 48   | 1.4179          | 0.6981   |
+| No log        | 4.0   | 64   | 1.3884          | 0.1321   |
+| No log        | 5.0   | 80   | 1.0898          | 0.6981   |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 1.13.1
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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