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sentiment-analysis-model

Text Classification
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TensorBoard
Safetensors
bert
Generated from Trainer
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D. Vle commited on
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Training complete.

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Files changed (8) hide show
  1. README.md +8 -7
  2. model.safetensors +1 -1
  3. runs/Apr01_22-00-21_Asus-ProArt-H7600ZX/events.out.tfevents.1712005221.Asus-ProArt-H7600ZX.32620.0 +3 -0
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  7. tokenizer.json +1 -8
  8. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [racai/distilbert-base-romanian-cased](https://huggingface.co/racai/distilbert-base-romanian-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3510
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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: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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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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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 57 | 0.4118 |
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- | No log | 2.0 | 114 | 0.3510 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [racai/distilbert-base-romanian-cased](https://huggingface.co/racai/distilbert-base-romanian-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2801
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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: 32
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+ - eval_batch_size: 32
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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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+ - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 113 | 0.2683 |
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+ | No log | 2.0 | 226 | 0.3323 |
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+ | No log | 3.0 | 339 | 0.2801 |
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  ### Framework versions
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