End of training

README.md

@@ -1,11 +1,9 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: microsoft/resnet-50
+base_model: barghavani/Cheese_xray
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: Cheese_X_ray
   results: []
@@ -16,10 +14,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Cheese_X_ray
 
-This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
+This model is a fine-tuned version of [barghavani/Cheese_xray](https://huggingface.co/barghavani/Cheese_xray) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5946
-- Accuracy: 0.7062
+- eval_loss: 0.2524
+- eval_accuracy: 0.9089
+- eval_runtime: 4.7004
+- eval_samples_per_second: 123.819
+- eval_steps_per_second: 7.872
+- epoch: 11.5608
+- step: 737
 
 ## Model description
 
@@ -47,14 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.5939        | 0.9882 | 63   | 0.6010          | 0.7062   |
-
+- num_epochs: 100
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 94302952

runs/Sep09_19-05-02_9f2fef1f985c/events.out.tfevents.1725908707.9f2fef1f985c.1030.2

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+size 24318