API Endpoint Extractor Model

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2288
+- Loss: 1.2141
 
 ## Model description
 
@@ -39,6 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
+- distributed_type: tpu
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
@@ -47,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 1.1514          |
-| No log        | 2.0   | 2    | 1.2026          |
-| No log        | 3.0   | 3    | 1.2288          |
+| No log        | 1.0   | 1    | 1.1371          |
+| No log        | 2.0   | 2    | 1.1911          |
+| No log        | 3.0   | 3    | 1.2141          |
 
 
 ### Framework versions
 
-- Transformers 4.53.0
-- Pytorch 2.6.0+cu124
-- Datasets 2.14.4
+- Transformers 4.53.1
+- Pytorch 2.6.0+cpu
+- Datasets 4.0.0
 - Tokenizers 0.21.2