luigisaetta commited on
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sentiment_ita

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.6759259259259259
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.5599
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- - Accuracy: 0.6759
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  ## Model description
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@@ -58,23 +58,23 @@ The following hyperparameters were used during training:
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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: 600
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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 | 1.0211 | 0.6327 |
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- | No log | 2.0 | 340 | 0.7957 | 0.6543 |
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- | 0.9743 | 3.0 | 510 | 0.7704 | 0.6636 |
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- | 0.9743 | 4.0 | 680 | 0.8278 | 0.6883 |
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- | 0.9743 | 5.0 | 850 | 0.9920 | 0.6790 |
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- | 0.3344 | 6.0 | 1020 | 1.2132 | 0.6728 |
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- | 0.3344 | 7.0 | 1190 | 1.2968 | 0.6883 |
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- | 0.3344 | 8.0 | 1360 | 1.4481 | 0.6883 |
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- | 0.0968 | 9.0 | 1530 | 1.5334 | 0.6852 |
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- | 0.0968 | 10.0 | 1700 | 1.5599 | 0.6759 |
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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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