taylorbollman commited on
Commit
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1 Parent(s): 35d08cc

End of training

Browse files
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-imdb
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  results: []
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-base-uncased-finetuned-imdb
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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: 2.2544
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  ## Model description
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@@ -35,25 +37,26 @@ More information needed
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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: 16
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- - eval_batch_size: 16
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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: 3.0
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 625 | 2.2733 |
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- | 2.4263 | 2.0 | 1250 | 2.2270 |
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- | 2.4263 | 3.0 | 1875 | 2.2056 |
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  ### Framework versions
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- - Transformers 4.32.1
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- - Pytorch 2.1.0
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- - Datasets 2.12.0
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- - Tokenizers 0.13.3
 
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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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+ datasets:
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+ - imdb
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  model-index:
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  - name: distilbert-base-uncased-finetuned-imdb
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  results: []
 
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  # distilbert-base-uncased-finetuned-imdb
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4119
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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: 64
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+ - eval_batch_size: 64
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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: 3.0
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7024 | 1.0 | 157 | 2.4966 |
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+ | 2.5796 | 2.0 | 314 | 2.4282 |
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+ | 2.5355 | 3.0 | 471 | 2.4510 |
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  ### Framework versions
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
config.json CHANGED
@@ -19,6 +19,6 @@
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  "sinusoidal_pos_embds": false,
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  }
 
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  "vocab_size": 30522
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