End of training

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-voxi-mnli
   results: []
@@ -17,8 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7452
-- Accuracy: 0.8208
+- eval_loss: 0.7060
+- eval_accuracy: 0.7036
+- eval_runtime: 7.6448
+- eval_samples_per_second: 1296.968
+- eval_steps_per_second: 81.101
+- epoch: 0.1041
+- step: 2561
 
 ## Model description
 
@@ -38,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -47,10 +50,6 @@ The following hyperparameters were used during training:
 - num_epochs: 5
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.41.2

model.safetensors

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training_args.bin

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