Venkatesh4342
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End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4991
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- Accuracy: 0.8254
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- F1: 0.8205
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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: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 80 | 1.2538 | 0.7302 | 0.6563 |
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| No log | 2.0 | 160 | 0.7638 | 0.8095 | 0.7915 |
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| No log | 3.0 | 240 | 0.5759 | 0.7937 | 0.7786 |
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| No log | 4.0 | 320 | 0.4931 | 0.8254 | 0.8219 |
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| No log | 5.0 | 400 | 0.5075 | 0.8254 | 0.8205 |
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| No log | 6.0 | 480 | 0.4991 | 0.8254 | 0.8205 |
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### Framework versions
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model.safetensors
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runs/Aug13_07-52-58_cf8f83462ee8/events.out.tfevents.1723535579.cf8f83462ee8.7856.12
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