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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: FacebookAI/xlm-roberta-large
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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: my_awesome_IMDB_roberta
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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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+ # my_awesome_IMDB_roberta
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+
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+ This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6932
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+ - Accuracy: 0.5
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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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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+ | 0.3385 | 1.0 | 3125 | 0.3165 | 0.9254 |
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+ | 0.7101 | 2.0 | 6250 | 0.6934 | 0.5 |
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+ | 0.7011 | 3.0 | 9375 | 0.6959 | 0.5 |
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+ | 0.6998 | 4.0 | 12500 | 0.6944 | 0.5 |
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+ | 0.6986 | 5.0 | 15625 | 0.6971 | 0.5 |
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+ | 0.6975 | 6.0 | 18750 | 0.6938 | 0.5 |
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+ | 0.6962 | 7.0 | 21875 | 0.6937 | 0.5 |
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+ | 0.697 | 8.0 | 25000 | 0.6932 | 0.5 |
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+ | 0.6978 | 9.0 | 28125 | 0.6935 | 0.5 |
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+ | 0.6991 | 10.0 | 31250 | 0.6932 | 0.5 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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