End of training

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: tigeryi/imagenet1k
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: imagenet-tiger
   results: []
@@ -17,8 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0970
-- Accuracy: 0.99
+- eval_loss: 0.0970
+- eval_accuracy: 0.99
+- eval_runtime: 73.9943
+- eval_samples_per_second: 1.351
+- eval_steps_per_second: 0.054
+- step: 0
 
 ## Model description
 
@@ -37,21 +39,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 4
-- eval_batch_size: 4
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 1
-- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8141        | 1.0   | 25   | 0.2320          | 0.95     |
-| 0.7293        | 2.0   | 50   | 0.0970          | 0.99     |
-
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
 
 ### Framework versions
 

runs/May03_19-55-14_849bc894c656/events.out.tfevents.1714766193.849bc894c656.148.3

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training_args.bin

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