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prakhars
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instagram_caption_classifier

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files
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prakhars commited on
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update model card README.md

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  1. README.md +3 -3
README.md CHANGED
@@ -14,7 +14,7 @@ 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: 0.5939
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  ## Model description
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@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
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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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@@ -49,5 +49,5 @@ The following hyperparameters were used during training:
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  - Transformers 4.24.0
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  - Pytorch 1.12.1+cu113
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- - Datasets 2.6.1
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  - Tokenizers 0.13.2
 
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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: 0.5106
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  ## Model description
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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: 8
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  ### Training results
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  - Transformers 4.24.0
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  - Pytorch 1.12.1+cu113
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+ - Datasets 2.7.1
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  - Tokenizers 0.13.2