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End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: 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-finetuned-voxi-mnli
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  results: []
@@ -15,13 +17,8 @@ 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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- - eval_loss: 0.7060
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- - eval_accuracy: 0.7036
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- - eval_runtime: 7.6448
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- - eval_samples_per_second: 1296.968
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- - eval_steps_per_second: 81.101
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- - epoch: 0.1041
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- - step: 2561
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  ## Model description
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@@ -41,8 +38,8 @@ More information needed
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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: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - distributed_type: multi-GPU
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -50,6 +47,10 @@ The following hyperparameters were used during training:
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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 4.41.2
 
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: distilbert-base-uncased-finetuned-voxi-mnli
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  results: []
 
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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: 0.7887
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+ - Accuracy: 0.8234
 
 
 
 
 
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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: 48
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+ - eval_batch_size: 48
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  - seed: 42
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  - distributed_type: multi-GPU
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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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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+
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+
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+
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  ### Framework versions
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  - Transformers 4.41.2
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