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sentiment_ita

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sentiment_ita

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  1. README.md +24 -15
  2. model.safetensors +1 -1
  3. runs/Nov24_07-36-22_5aec582beaec/events.out.tfevents.1700811383.5aec582beaec.9675.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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: 2.5004
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  - Accuracy: 0.6852
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  ## Model description
@@ -65,20 +65,29 @@ 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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- | No log | 1.0 | 171 | 0.8112 | 0.6481 |
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- | 0.9213 | 2.0 | 342 | 0.7370 | 0.6728 |
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- | 0.9213 | 3.0 | 513 | 0.8245 | 0.6944 |
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- | 0.3466 | 4.0 | 684 | 1.1194 | 0.6790 |
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- | 0.3466 | 5.0 | 855 | 1.6827 | 0.6667 |
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- | 0.1383 | 6.0 | 1026 | 2.0184 | 0.6883 |
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- | 0.1383 | 7.0 | 1197 | 2.0243 | 0.6975 |
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- | 0.0647 | 8.0 | 1368 | 2.2284 | 0.6790 |
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- | 0.0647 | 9.0 | 1539 | 2.3231 | 0.6914 |
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- | 0.0203 | 10.0 | 1710 | 2.3428 | 0.7068 |
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- | 0.0203 | 11.0 | 1881 | 2.5525 | 0.6852 |
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- | 0.0065 | 12.0 | 2052 | 2.4998 | 0.6821 |
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- | 0.0065 | 13.0 | 2223 | 2.4901 | 0.6790 |
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- | 0.0058 | 14.0 | 2394 | 2.5004 | 0.6852 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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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  | 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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