add model

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

README.md

@@ -1,44 +1,58 @@
 ---
+license: apache-2.0
 tags:
-- image-classification
-- pytorch
-- huggingpics
-metrics:
-- accuracy
-
-model-index:
+- generated_from_trainer
+model_index:
 - name: trainer-rare-puppers
   results:
   - task:
       name: Image Classification
       type: image-classification
-    metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.8955223880597015
 ---
 
+<!-- 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. -->
+
 # trainer-rare-puppers
 
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unkown dataset.
+
+## Model description
+
+More information needed
 
-Autogenerated by HuggingPics🤗🖼️
+## Intended uses & limitations
 
-Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
+More information needed
 
-Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+## Training and evaluation data
 
+More information needed
 
-## Example Images
+## Training procedure
 
+### Training hyperparameters
 
-#### corgi
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
 
-![corgi](images/corgi.jpg)
+### Training results
 
-#### samoyed
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 48   | 0.4087          | 0.8806   |
 
-![samoyed](images/samoyed.jpg)
 
-#### shiba inu
+### Framework versions
 
-![shiba inu](images/shiba_inu.jpg)
+- Transformers 4.9.2
+- Pytorch 1.9.0+cu102
+- Datasets 1.11.0
+- Tokenizers 0.10.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cfc6cb629f3611b2f771e161e9b6dc7e457371e43254cfcdea4f55ceec9e2c0
+oid sha256:688a0485d0f04f6ba4e294e87dd575065d66a99f02390e225f2f62dd0c913865
 size 343282929

runs/Aug23_18-14-48_eb7d1b59e2b0/1629742526.517056/events.out.tfevents.1629742526.eb7d1b59e2b0.1285.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:935efd1d8ece35cc62ceade8494767dd0891a2e3382f9c31f41f472a4dc071f6
+size 4318

runs/Aug23_18-14-48_eb7d1b59e2b0/events.out.tfevents.1629742526.eb7d1b59e2b0.1285.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e2662b6cc8e53f78dedd83e4563aec8306a5d37ee26c270f0e3bb02a4987cca
+size 3782

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1b4ae6fdc97fb4101413253012822ccb79e54c220da7be0d96a68cc29d9b110
+size 2799