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HamdanXI/w2v2_uclass_clipped_10_seconds_fb_labeled_v2

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  1. README.md +23 -7
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -17,8 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6035
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  - Accuracy: 0.5153
 
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -41,17 +50,24 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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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: 3
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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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- | 1.6178 | 1.8762 | 500 | 1.6035 | 0.5153 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6006
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  - Accuracy: 0.5153
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+ - F1 Score Class 0: 0.0
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+ - F1 Score Class 1: 0.0
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+ - F1 Score Class 2: 0.0
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+ - F1 Score Class 3: 0.0
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+ - F1 Score Class 4: 0.0
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+ - F1 Score Class 5: 0.0
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+ - F1 Score Class 6: 0.0
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+ - F1 Score Class 7: 0.6801
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+ - F1 Score Class 8: 0.0
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  ## Model description
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  - train_batch_size: 16
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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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 | F1 Score Class 4 | F1 Score Class 5 | F1 Score Class 6 | F1 Score Class 7 | F1 Score Class 8 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|
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+ | 1.506 | 1.0 | 533 | 1.6378 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.4754 | 2.0 | 1066 | 1.6081 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.5661 | 3.0 | 1599 | 1.6086 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.5656 | 4.0 | 2132 | 1.6012 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.6768 | 5.0 | 2665 | 1.6281 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.6289 | 6.0 | 3198 | 1.6011 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.4727 | 7.0 | 3731 | 1.6015 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.5386 | 8.0 | 4264 | 1.6054 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.5436 | 9.0 | 4797 | 1.6020 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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+ | 1.4974 | 10.0 | 5330 | 1.6006 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
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  ### Framework versions
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