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sentiment_ita

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sentiment_ita

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  1. README.md +19 -15
  2. model.safetensors +1 -1
  3. runs/Nov24_07-04-57_5aec582beaec/events.out.tfevents.1700809504.5aec582beaec.1105.0 +3 -0
  4. runs/Nov24_07-08-47_5aec582beaec/events.out.tfevents.1700809729.5aec582beaec.2041.0 +3 -0
  5. 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: 0.6944444444444444
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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: 2.3610
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- - Accuracy: 0.6944
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 800
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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 | 171 | 0.7979 | 0.6574 |
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- | 0.8861 | 2.0 | 342 | 0.7423 | 0.6944 |
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- | 0.8861 | 3.0 | 513 | 0.8450 | 0.6914 |
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- | 0.3208 | 4.0 | 684 | 1.2621 | 0.6698 |
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- | 0.3208 | 5.0 | 855 | 1.3658 | 0.6790 |
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- | 0.1361 | 6.0 | 1026 | 1.9379 | 0.6883 |
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- | 0.1361 | 7.0 | 1197 | 2.2134 | 0.6667 |
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- | 0.0567 | 8.0 | 1368 | 2.4013 | 0.6728 |
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- | 0.0567 | 9.0 | 1539 | 2.3630 | 0.6914 |
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- | 0.0113 | 10.0 | 1710 | 2.3610 | 0.6944 |
 
 
 
 
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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: 2.5004
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+ - Accuracy: 0.6852
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 800
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+ - num_epochs: 14
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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 | 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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