Model save

README.md

@@ -2,7 +2,6 @@
 library_name: transformers
 base_model: openai/clip-vit-base-patch32
 tags:
-- image-classification
 - generated_from_trainer
 model-index:
 - name: logo-matching-base
@@ -14,15 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # logo-matching-base
 
-This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the ellabettison/logo-matching dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.0342
-- eval_accuracy: 0.2435
-- eval_runtime: 128.298
-- eval_samples_per_second: 4.193
-- eval_steps_per_second: 0.53
-- epoch: 4.9362
-- step: 232
+This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
 
 ## Model description
 
@@ -45,10 +36,14 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 10
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.47.1

runs/Jan16_12-14-11_ac210eb8fa79/events.out.tfevents.1737029652.ac210eb8fa79.885.24

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce66970816e792b6c9cd49011411274132133a55018feb74352cc9a5b892d6a6
-size 20622
+oid sha256:82b461a5cecea71e291a5e629fbf2bef4dbc04d7fe470aec334fc43a1660560b
+size 20976