luigisaetta
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sentiment_ita
Browse files
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the tweet_sentiment_multilingual dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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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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- lr_scheduler_warmup_steps:
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 170 | 1.
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| No log | 2.0 | 340 | 0.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6851851851851852
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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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This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the tweet_sentiment_multilingual dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5199
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- Accuracy: 0.6852
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## Model description
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 170 | 1.1582 | 0.6173 |
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| No log | 2.0 | 340 | 0.8326 | 0.6389 |
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| 1.0735 | 3.0 | 510 | 0.7827 | 0.6543 |
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| 1.0735 | 4.0 | 680 | 0.7898 | 0.6728 |
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| 1.0735 | 5.0 | 850 | 0.8674 | 0.6759 |
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| 0.4509 | 6.0 | 1020 | 1.0103 | 0.6883 |
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| 0.4509 | 7.0 | 1190 | 1.1162 | 0.7006 |
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| 0.4509 | 8.0 | 1360 | 1.3433 | 0.6883 |
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| 0.1439 | 9.0 | 1530 | 1.4674 | 0.6821 |
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| 0.1439 | 10.0 | 1700 | 1.5199 | 0.6852 |
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### Framework versions
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model.safetensors
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runs/Nov23_13-01-21_598cf3cc6de2/events.out.tfevents.1700744482.598cf3cc6de2.32130.0
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training_args.bin
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