Model save

README.md

@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- epoch: 8.0
-- eval_accuracy: 0.992
-- eval_loss: 0.0201
-- eval_runtime: 78.6431
-- eval_samples_per_second: 25.431
-- eval_steps_per_second: 0.407
-- step: 2000
+- epoch: 12.0
+- eval_accuracy: 0.9935
+- eval_loss: 0.0278
+- eval_runtime: 83.4534
+- eval_samples_per_second: 23.965
+- eval_steps_per_second: 0.383
+- step: 3000
 
 ## Model description
 
@@ -53,6 +53,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.47.1
-- Pytorch 2.5.1+cu121
+- Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0

config.json

@@ -37,7 +37,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.47.1"

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