update model card README.md

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets: juliensimon/amazon-shoe-reviews
 metrics:
 - accuracy
 - f1
@@ -13,16 +12,18 @@ model-index:
   results: []
 ---
 
-# distilbert-amazon-shoe-reviews
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a [subset](https://huggingface.co/datasets/juliensimon/amazon-shoe-reviews) of the [Amazon US reviews](https://huggingface.co/datasets/amazon_us_reviews) dataset.
+# distilbert-amazon-shoe-reviews
 
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9532
-- Accuracy: 0.5779
-- F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375  ]
-- Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507]
-- Recall: [0.6247495  0.46237624 0.52983172 0.53313982 0.74488753]
+- Loss: 0.9546
+- Accuracy: 0.5788
+- F1: [0.62939855 0.4656164  0.50839092 0.5594581  0.73356926]
+- Precision: [0.62705122 0.47043962 0.49258728 0.58103179 0.7255    ]
+- Recall: [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004]
 
 ## Model description
 
@@ -48,17 +49,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1                                                       | Precision                                                | Recall                                                   |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:|
-| 0.9713        | 1.0   | 2813 | 0.9532          | 0.5779   | [0.62616119 0.46456105 0.50993865 0.55755123 0.734375  ] | [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] | [0.6247495  0.46237624 0.52983172 0.53313982 0.74488753] |
+| 0.9611        | 1.0   | 2813 | 0.9546          | 0.5788   | [0.62939855 0.4656164  0.50839092 0.5594581  0.73356926] | [0.62705122 0.47043962 0.49258728 0.58103179 0.7255    ] | [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004] |
 
 
 ### Framework versions
 
-- Transformers 4.20.1
-- Pytorch 1.12.0+cu102
-- Datasets 2.3.2
-- Tokenizers 0.12.1
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3