heado

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7118
+- Loss: 0.6952
 
 ## Model description
 
@@ -49,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 17   | 0.8068          |
-| No log        | 2.0   | 34   | 0.7118          |
+| No log        | 1.0   | 17   | 0.7837          |
+| No log        | 2.0   | 34   | 0.6952          |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
 - Tokenizers 0.19.1

config.json

@@ -30,5 +30,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.42.4"
+  "transformers_version": "4.44.2"
 }

model.safetensors

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