End of training

README.md

@@ -13,6 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-imdb-sentiment
 
 This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_accuracy: 0.894
+- eval_f1: 0.8940
+- eval_loss: 0.2907
+- eval_model_preparation_time: 0.0027
+- eval_runtime: 17.1479
+- eval_samples_per_second: 58.316
+- eval_steps_per_second: 7.29
+- step: 0
 
 ## Model description
 
@@ -31,13 +40,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 0
 
 ### Framework versions
 

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68596a9fdb2d10f89cad3f5ddc843d2bff99d6eadafc5eb00ae2cdcf9060aff6
+oid sha256:fc1395199447a8f6724a72170a7d65b4dcd0e3dc851da329d9c07c87176b1e2f
 size 5201