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End of training

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  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: cardiffnlp/twitter-roberta-base-emotion
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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: finetuned_roberta-base-on-IEMOCAP_2
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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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+ # finetuned_roberta-base-on-IEMOCAP_2
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+
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+ This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-emotion](https://huggingface.co/cardiffnlp/twitter-roberta-base-emotion) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8093
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+ - Accuracy: 0.7283
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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: 32
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+ - eval_batch_size: 32
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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: 15
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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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+ | 0.9868 | 1.0 | 113 | 0.9133 | 0.6493 |
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+ | 0.7065 | 2.0 | 226 | 0.8576 | 0.6803 |
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+ | 0.4773 | 3.0 | 339 | 0.8821 | 0.6947 |
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+ | 0.4002 | 4.0 | 452 | 0.9283 | 0.7024 |
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+ | 0.3338 | 5.0 | 565 | 1.0637 | 0.6792 |
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+ | 0.3128 | 6.0 | 678 | 1.0653 | 0.6892 |
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+ | 0.2552 | 7.0 | 791 | 1.1852 | 0.6814 |
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+ | 0.244 | 8.0 | 904 | 1.2298 | 0.6825 |
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+ | 0.2178 | 9.0 | 1017 | 1.2453 | 0.6925 |
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+ | 0.2083 | 10.0 | 1130 | 1.3690 | 0.6858 |
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+ | 0.1516 | 11.0 | 1243 | 1.3877 | 0.6914 |
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+ | 0.1186 | 12.0 | 1356 | 1.4572 | 0.6903 |
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+ | 0.1681 | 13.0 | 1469 | 1.4289 | 0.6925 |
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+ | 0.1175 | 14.0 | 1582 | 1.4813 | 0.6869 |
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+ | 0.1068 | 15.0 | 1695 | 1.4878 | 0.6869 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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