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End of training

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  1. README.md +79 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: xlm-roberta-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: xmlRoBert-Balanced-trimmed-20epoch
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # xmlRoBert-Balanced-trimmed-20epoch
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+
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0586
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+ - Accuracy: 0.4545
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 4 | 1.0327 | 0.5 |
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+ | No log | 2.0 | 8 | 0.9829 | 0.5 |
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+ | No log | 3.0 | 12 | 1.0224 | 0.5 |
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+ | No log | 4.0 | 16 | 0.9787 | 0.5 |
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+ | No log | 5.0 | 20 | 0.9988 | 0.5 |
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+ | No log | 6.0 | 24 | 0.9854 | 0.5 |
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+ | No log | 7.0 | 28 | 0.9853 | 0.5 |
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+ | No log | 8.0 | 32 | 1.0182 | 0.5455 |
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+ | No log | 9.0 | 36 | 1.0077 | 0.5 |
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+ | No log | 10.0 | 40 | 1.0143 | 0.5 |
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+ | No log | 11.0 | 44 | 1.0110 | 0.5 |
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+ | No log | 12.0 | 48 | 0.9900 | 0.5 |
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+ | No log | 13.0 | 52 | 0.9904 | 0.5 |
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+ | No log | 14.0 | 56 | 1.0003 | 0.4545 |
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+ | No log | 15.0 | 60 | 1.0287 | 0.5455 |
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+ | No log | 16.0 | 64 | 1.0526 | 0.5455 |
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+ | No log | 17.0 | 68 | 1.0608 | 0.5 |
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+ | No log | 18.0 | 72 | 1.0643 | 0.5 |
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+ | No log | 19.0 | 76 | 1.0631 | 0.5 |
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+ | No log | 20.0 | 80 | 1.0586 | 0.4545 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0.dev0
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+ - Pytorch 1.13.1
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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