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Janvi17
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customer-support-ticket-classifier

Text Classification
Transformers
Safetensors
English
distilbert
customer-support
intent-classification
support-tickets
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
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Janvi17 commited on
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  1. README.md +10 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3862
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- - Accuracy: 0.02
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- - Macro F1: 0.0055
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  ## Model description
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@@ -45,14 +45,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_steps: 0.1
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 2.4095 | 1.0 | 7 | 2.3862 | 0.02 | 0.0055 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0088
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+ - Accuracy: 0.9980
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+ - Macro F1: 0.9980
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 308
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.0229 | 1.0 | 616 | 0.0163 | 0.9976 | 0.9978 |
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+ | 0.0042 | 2.0 | 1232 | 0.0106 | 0.9968 | 0.9968 |
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+ | 0.0024 | 3.0 | 1848 | 0.0054 | 0.9988 | 0.9988 |
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+ | 0.0008 | 4.0 | 2464 | 0.0091 | 0.9980 | 0.9980 |
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+ | 0.0007 | 5.0 | 3080 | 0.0088 | 0.9980 | 0.9980 |
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  ### Framework versions
model.safetensors CHANGED
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