3sara/colpali_biology

README.md

@@ -15,10 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # checkpoints
 
-This model is a fine-tuned version of [vidore/colpaligemma-3b-pt-448-base](https://huggingface.co/vidore/colpaligemma-3b-pt-448-base) on the 3sara/docs_sample dataset.
+This model is a fine-tuned version of [vidore/colpaligemma-3b-pt-448-base](https://huggingface.co/vidore/colpaligemma-3b-pt-448-base) on the efeno/colpali_training_biology dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4457
-- Model Preparation Time: 0.0081
+- eval_loss: 0.0124
+- eval_model_preparation_time: 0.006
+- eval_runtime: 854.312
+- eval_samples_per_second: 1.151
+- eval_steps_per_second: 0.288
+- step: 0
 
 ## Model description
 
@@ -48,16 +52,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 100
 - num_epochs: 1.5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
-| No log        | 0.02  | 1    | 1.0480          | 0.0081                 |
-
-
 ### Framework versions
 
 - Transformers 4.51.3
-- Pytorch 2.5.1+cu121
-- Datasets 3.5.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
 - Tokenizers 0.21.1

adapter_model.safetensors

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training_args.bin

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