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sentiment_ita

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sentiment_ita

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  1. README.md +14 -45
  2. model.safetensors +1 -1
  3. runs/Nov26_11-54-48_844b425e6119/events.out.tfevents.1700999696.844b425e6119.823.0 +3 -0
  4. runs/Nov26_11-56-01_844b425e6119/events.out.tfevents.1700999763.844b425e6119.1887.0 +3 -0
  5. runs/Nov26_12-03-11_844b425e6119/events.out.tfevents.1701000192.844b425e6119.3787.0 +3 -0
  6. tokenizer.json +2 -16
  7. training_args.bin +1 -1
README.md CHANGED
@@ -3,26 +3,11 @@ license: mit
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  base_model: neuraly/bert-base-italian-cased-sentiment
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  tags:
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  - generated_from_trainer
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- datasets:
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- - tweet_sentiment_multilingual
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  metrics:
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  - accuracy
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  model-index:
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  - name: sentiment_ita
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- results:
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- - task:
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- name: Text Classification
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- type: text-classification
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- dataset:
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- name: tweet_sentiment_multilingual
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- type: tweet_sentiment_multilingual
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- config: italian
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- split: validation
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- args: italian
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.6790123456790124
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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
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # sentiment_ita
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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: 2.3764
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- - Accuracy: 0.6790
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  ## Model description
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@@ -53,42 +38,26 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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: 1000
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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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- | 1.7769 | 0.57 | 100 | 1.2783 | 0.6204 |
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- | 0.9499 | 1.14 | 200 | 0.8864 | 0.6389 |
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- | 0.7183 | 1.7 | 300 | 0.8164 | 0.6543 |
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- | 0.6378 | 2.27 | 400 | 0.8025 | 0.6821 |
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- | 0.565 | 2.84 | 500 | 0.7971 | 0.6790 |
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- | 0.4493 | 3.41 | 600 | 0.8769 | 0.6728 |
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- | 0.4229 | 3.98 | 700 | 0.8342 | 0.6790 |
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- | 0.2503 | 4.55 | 800 | 1.1654 | 0.6728 |
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- | 0.2372 | 5.11 | 900 | 1.0713 | 0.6759 |
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- | 0.1445 | 5.68 | 1000 | 1.3554 | 0.6883 |
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- | 0.1329 | 6.25 | 1100 | 1.5381 | 0.6605 |
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- | 0.1023 | 6.82 | 1200 | 1.5506 | 0.6914 |
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- | 0.0542 | 7.39 | 1300 | 1.8265 | 0.6852 |
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- | 0.0472 | 7.95 | 1400 | 2.0343 | 0.6698 |
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- | 0.0227 | 8.52 | 1500 | 2.1335 | 0.6728 |
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- | 0.0247 | 9.09 | 1600 | 2.1640 | 0.6605 |
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- | 0.0165 | 9.66 | 1700 | 2.1982 | 0.6759 |
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- | 0.0069 | 10.23 | 1800 | 2.2789 | 0.6790 |
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- | 0.0256 | 10.8 | 1900 | 2.2858 | 0.6883 |
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- | 0.0125 | 11.36 | 2000 | 2.3091 | 0.6852 |
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- | 0.0051 | 11.93 | 2100 | 2.3238 | 0.6821 |
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- | 0.0014 | 12.5 | 2200 | 2.3700 | 0.6883 |
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- | 0.0019 | 13.07 | 2300 | 2.3582 | 0.6790 |
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- | 0.0038 | 13.64 | 2400 | 2.3764 | 0.6790 |
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  ### Framework versions
 
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  base_model: neuraly/bert-base-italian-cased-sentiment
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  model-index:
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  - name: sentiment_ita
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  # sentiment_ita
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6301
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+ - Accuracy: 0.6903
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 48
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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: 600
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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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+ | 1.5002 | 1.67 | 100 | 0.9894 | 0.6460 |
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+ | 0.6959 | 3.33 | 200 | 0.7681 | 0.6726 |
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+ | 0.5325 | 5.0 | 300 | 0.7615 | 0.6962 |
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+ | 0.349 | 6.67 | 400 | 0.8867 | 0.6932 |
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+ | 0.1798 | 8.33 | 500 | 1.1361 | 0.6873 |
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+ | 0.0983 | 10.0 | 600 | 1.3994 | 0.6962 |
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+ | 0.0412 | 11.67 | 700 | 1.5411 | 0.7109 |
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+ | 0.0293 | 13.33 | 800 | 1.6301 | 0.6903 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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