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sentiment_ita

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sentiment_ita

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  1. README.md +27 -26
  2. model.safetensors +1 -1
  3. runs/Nov24_11-45-01_5aec582beaec/events.out.tfevents.1700826307.5aec582beaec.38279.0 +3 -0
  4. training_args.bin +1 -1
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: 0.6851851851851852
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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
@@ -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: 2.4948
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- - Accuracy: 0.6852
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  ## Model description
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@@ -65,29 +65,30 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.4465 | 0.58 | 100 | 1.0230 | 0.6173 |
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- | 0.7659 | 1.17 | 200 | 0.8187 | 0.6420 |
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- | 0.6318 | 1.75 | 300 | 0.8000 | 0.6667 |
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- | 0.5495 | 2.34 | 400 | 0.8430 | 0.6605 |
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- | 0.4546 | 2.92 | 500 | 0.8659 | 0.6574 |
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- | 0.2562 | 3.51 | 600 | 1.2570 | 0.6759 |
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- | 0.2457 | 4.09 | 700 | 1.3095 | 0.6759 |
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- | 0.1721 | 4.68 | 800 | 1.5011 | 0.6975 |
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- | 0.1609 | 5.26 | 900 | 1.8964 | 0.6605 |
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- | 0.1395 | 5.85 | 1000 | 1.6163 | 0.6883 |
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- | 0.0848 | 6.43 | 1100 | 2.0612 | 0.6821 |
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- | 0.0448 | 7.02 | 1200 | 1.9197 | 0.7006 |
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- | 0.0488 | 7.6 | 1300 | 2.0745 | 0.6975 |
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- | 0.0122 | 8.19 | 1400 | 2.3671 | 0.6821 |
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- | 0.0417 | 8.77 | 1500 | 2.3543 | 0.6914 |
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- | 0.0068 | 9.36 | 1600 | 2.4912 | 0.6944 |
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- | 0.0184 | 9.94 | 1700 | 2.1939 | 0.6975 |
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- | 0.0082 | 10.53 | 1800 | 2.4264 | 0.6852 |
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- | 0.0138 | 11.11 | 1900 | 2.4041 | 0.6883 |
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- | 0.0008 | 11.7 | 2000 | 2.5419 | 0.6821 |
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- | 0.0013 | 12.28 | 2100 | 2.5759 | 0.6821 |
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- | 0.0086 | 12.87 | 2200 | 2.4929 | 0.6852 |
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- | 0.0003 | 13.45 | 2300 | 2.4948 | 0.6852 |
 
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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: 0.6697530864197531
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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: 2.7883
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+ - Accuracy: 0.6698
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.4695 | 0.57 | 100 | 1.0286 | 0.6173 |
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+ | 0.7416 | 1.15 | 200 | 0.7852 | 0.6451 |
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+ | 0.6165 | 1.72 | 300 | 0.7865 | 0.6574 |
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+ | 0.5304 | 2.3 | 400 | 0.8629 | 0.6821 |
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+ | 0.4296 | 2.87 | 500 | 0.8318 | 0.6914 |
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+ | 0.282 | 3.45 | 600 | 1.0587 | 0.6914 |
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+ | 0.2344 | 4.02 | 700 | 1.3293 | 0.6574 |
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+ | 0.1327 | 4.6 | 800 | 1.5493 | 0.6728 |
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+ | 0.1603 | 5.17 | 900 | 1.8099 | 0.6605 |
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+ | 0.1048 | 5.75 | 1000 | 1.7567 | 0.6698 |
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+ | 0.086 | 6.32 | 1100 | 2.1221 | 0.6574 |
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+ | 0.0439 | 6.9 | 1200 | 2.1960 | 0.6821 |
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+ | 0.0224 | 7.47 | 1300 | 2.3251 | 0.6821 |
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+ | 0.0205 | 8.05 | 1400 | 2.4668 | 0.6790 |
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+ | 0.0195 | 8.62 | 1500 | 2.4558 | 0.6728 |
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+ | 0.0137 | 9.2 | 1600 | 2.7194 | 0.6698 |
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+ | 0.0046 | 9.77 | 1700 | 2.7665 | 0.6728 |
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+ | 0.0163 | 10.34 | 1800 | 2.7496 | 0.6574 |
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+ | 0.0059 | 10.92 | 1900 | 2.6633 | 0.6667 |
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+ | 0.0059 | 11.49 | 2000 | 2.7200 | 0.6636 |
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+ | 0.0035 | 12.07 | 2100 | 2.8186 | 0.6636 |
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+ | 0.0002 | 12.64 | 2200 | 2.8109 | 0.6636 |
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+ | 0.0001 | 13.22 | 2300 | 2.8181 | 0.6667 |
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+ | 0.0015 | 13.79 | 2400 | 2.7883 | 0.6698 |
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  ### Framework versions
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