greatakela commited on
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End of training

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.4376
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- - Accuracy: 0.8036
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- - F1: 0.8061
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  ## Model description
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@@ -46,14 +46,16 @@ The following hyperparameters were used during training:
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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: 500
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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- | 0.4652 | 1.0 | 6787 | 0.4442 | 0.7952 | 0.7976 |
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- | 0.4165 | 2.0 | 13574 | 0.4376 | 0.8036 | 0.8061 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.4550
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+ - Accuracy: 0.8038
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+ - F1: 0.8080
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  ## Model description
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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: 500
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 0.4548 | 1.0 | 6787 | 0.4594 | 0.7877 | 0.7809 |
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+ | 0.4435 | 2.0 | 13574 | 0.4439 | 0.8006 | 0.8111 |
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+ | 0.4119 | 3.0 | 20361 | 0.4410 | 0.8025 | 0.8054 |
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+ | 0.3942 | 4.0 | 27148 | 0.4550 | 0.8038 | 0.8080 |
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  ### Framework versions
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