Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0003
+- Loss: 0.0001
 
 ## Model description
 
@@ -42,15 +42,17 @@ The following hyperparameters were used during training:
 - 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
 - lr_scheduler_warmup_steps: 1000
-- num_epochs: 3
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.0023        | 1.0707 | 1500 | 0.0010          |
-| 0.0007        | 2.1413 | 3000 | 0.0003          |
+| 0.0034        | 1.0707 | 1500 | 0.0009          |
+| 0.0013        | 2.1413 | 3000 | 0.0003          |
+| 0.0009        | 3.2120 | 4500 | 0.0002          |
+| 0.0003        | 4.2827 | 6000 | 0.0001          |
 
 
 ### Framework versions

model.safetensors

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 size 989717056

training_args.bin

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 version https://git-lfs.github.com/spec/v1
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 size 5560