diff --git a/README.md b/README.md
deleted file mode 100644
index 18b451e610ab3a0a91c7da38d96dbab6bf071241..0000000000000000000000000000000000000000
--- a/README.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-license: apache-2.0
-tags:
-- image-classification
-- vision
-- generated_from_trainer
-datasets:
-- beans
-metrics:
-- accuracy
-model-index:
-- name: vit-base-beans
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: beans
-      type: beans
-      config: default
-      split: validation
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9924812030075187
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# vit-base-beans
-
-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: 0.0689
-- Accuracy: 0.9925
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 1337
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 5.0
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2977        | 1.0   | 130  | 0.2471          | 0.9549   |
-| 0.1946        | 2.0   | 260  | 0.1635          | 0.9474   |
-| 0.2001        | 3.0   | 390  | 0.1056          | 0.9699   |
-| 0.0826        | 4.0   | 520  | 0.0874          | 0.9850   |
-| 0.0827        | 5.0   | 650  | 0.0689          | 0.9925   |
-
-
-### Framework versions
-
-- Transformers 4.31.0.dev0
-- Pytorch 1.8.2
-- Datasets 2.12.0
-- Tokenizers 0.13.3
diff --git a/all_results.json b/all_results.json
deleted file mode 100644
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--- a/all_results.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-    "epoch": 5.0,
-    "eval_accuracy": 0.9924812030075187,
-    "eval_loss": 0.06893298774957657,
-    "eval_runtime": 1.5527,
-    "eval_samples_per_second": 85.66,
-    "eval_steps_per_second": 10.949,
-    "train_loss": 0.22661718891217159,
-    "train_runtime": 210.11,
-    "train_samples_per_second": 24.606,
-    "train_steps_per_second": 3.094
-}
\ No newline at end of file
diff --git a/config.json b/config.json
index 1961b258dd5a4255745e53640692322205b8c6ab..bcf7f25edf72d0c2b71b5089119721a62d90b6eb 100644
--- a/config.json
+++ b/config.json
@@ -30,6 +30,6 @@
   "patch_size": 14,
   "problem_type": "single_label_classification",
   "qkv_bias": true,
-  "torch_dtype": "float16",
+  "torch_dtype": "float32",
   "transformers_version": "4.31.0.dev0"
 }
diff --git a/eval_results.json b/eval_results.json
deleted file mode 100644
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+++ /dev/null
@@ -1,8 +0,0 @@
-{
-    "epoch": 5.0,
-    "eval_accuracy": 0.9924812030075187,
-    "eval_loss": 0.06893298774957657,
-    "eval_runtime": 1.5527,
-    "eval_samples_per_second": 85.66,
-    "eval_steps_per_second": 10.949
-}
\ No newline at end of file
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