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dzinampini
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api_endpoint_extractor

Text Classification
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distilbert
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text-embeddings-inference
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dzinampini commited on
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API Endpoint Extractor Model

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  1. README.md +8 -7
README.md CHANGED
@@ -16,7 +16,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2288
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  ## Model description
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@@ -39,6 +39,7 @@ The following hyperparameters were used during training:
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 1.1514 |
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- | No log | 2.0 | 2 | 1.2026 |
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- | No log | 3.0 | 3 | 1.2288 |
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  ### Framework versions
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- - Transformers 4.53.0
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- - Pytorch 2.6.0+cu124
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- - Datasets 2.14.4
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  - Tokenizers 0.21.2
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 1.2141
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  ## Model description
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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: tpu
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 3
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 1 | 1.1371 |
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+ | No log | 2.0 | 2 | 1.1911 |
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+ | No log | 3.0 | 3 | 1.2141 |
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  ### Framework versions
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+ - Transformers 4.53.1
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+ - Pytorch 2.6.0+cpu
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+ - Datasets 4.0.0
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  - Tokenizers 0.21.2