End of training

README.md

@@ -0,0 +1,61 @@
+---
+license: other
+base_model: HuggingFaceM4/idefics-9b-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: idefics-9b-instruct-ft-instruct-compact
+  results: []
+---
+
+<!-- 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. -->
+
+# idefics-9b-instruct-ft-instruct-compact
+
+This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9658
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.5797        | 0.36  | 5    | 3.3566          |
+| 3.0965        | 0.72  | 10   | 2.9658          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Nov16_22-26-57_ai12.kuacc.ku.edu.tr/events.out.tfevents.1700162818.ai12.kuacc.ku.edu.tr.148372.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6154eb1753c23c96fb82b38adc2052b3ccb74527118692fa01c64fc2cffc0e89
-size 6594
+oid sha256:400b5fa7a7de8c788786d03047622af41b0747325ff6c7b870205572ba01d339
+size 7096