End of training

README.md

@@ -10,36 +10,36 @@ model-index:
 <!-- 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. -->
 
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 # clip-hugging-face-finetuned
 
 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.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0703
-- eval_runtime: 42.1043
-- eval_samples_per_second: 7.125
-- eval_steps_per_second: 0.238
-- epoch: 0.7660
-- step: 36
+- eval_loss: 1.2712
+- eval_runtime: 54.386
+- eval_samples_per_second: 5.516
+- eval_steps_per_second: 0.092
+- epoch: 0.6702
+- step: 63
 
 ## Model description
 
@@ -58,9 +58,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3.8485937013874784e-05
-- train_batch_size: 64
-- eval_batch_size: 32
+- learning_rate: 1.5291245778570296e-05
+- train_batch_size: 32
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -69,6 +69,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.42.0.dev0
-- Pytorch 2.2.1+cu121
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

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