Model save

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # clip-vit-large-patch14-finetuned-sofas
 
 This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on the imagefolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.9003
 
 ## Model description
 
@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.38.0.dev0
+- Transformers 4.39.0.dev0
 - Pytorch 2.0.1+cu117
-- Datasets 2.17.0
+- Datasets 2.16.1
 - Tokenizers 0.15.2

config.json

@@ -16,7 +16,7 @@
     "projection_dim": 768
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.38.0.dev0",
+  "transformers_version": "4.39.0.dev0",
   "vision_config": {
     "dropout": 0.0,
     "hidden_size": 1024,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:595abc4259fa906e0bc1dc58311f0c448d3290cb7aa7a5b2be4ddb8369919c2d
 size 1710537716

training_args.bin

@@ -1,3 +1,3 @@
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-size 4347
+oid sha256:9d3eb55386c0477be9fd1372b720aa74225e1df4d81255ecfa361d81a5763283
+size 4475