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End of training
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README.md
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base_model: distilbert/distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-IDMB-sentiment-analysis
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results: []
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# distilbert-base-uncased-IDMB-sentiment-analysis
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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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: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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base_model: distilbert/distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: distilbert-base-uncased-IDMB-sentiment-analysis
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results: []
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# distilbert-base-uncased-IDMB-sentiment-analysis
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3468
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- F1: 0.7745
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- Accuracy: 0.9373
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## Model description
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 0.239 | 1.0 | 1250 | 0.1846 | 0.7436 | 0.928 |
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| 0.1181 | 2.0 | 2500 | 0.2053 | 0.7473 | 0.9277 |
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| 0.0573 | 3.0 | 3750 | 0.2772 | 0.7570 | 0.9327 |
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| 0.0269 | 4.0 | 5000 | 0.3206 | 0.7706 | 0.9363 |
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| 0.0127 | 5.0 | 6250 | 0.3468 | 0.7745 | 0.9373 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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training_args.bin
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