End of training

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+base_model: HuggingFaceM4/idefics2-8b
+tags:
+- generated_from_trainer
+model-index:
+- name: gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
+  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. -->
+
+# gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
+
+This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9830
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2995        | 0.4   | 25   | 1.0136          |
+| 0.699         | 0.8   | 50   | 0.9030          |
+| 0.542         | 1.2   | 75   | 1.0245          |
+| 0.3738        | 1.6   | 100  | 0.9830          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.19.0
+- Tokenizers 0.19.1

README.md

@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9830
+- eval_loss: 0.8915
+- eval_runtime: 91.835
+- eval_samples_per_second: 2.178
+- eval_steps_per_second: 1.089
+- epoch: 2.0
+- step: 100
 
 ## Model description
 
@@ -34,27 +39,17 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 5e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.2995        | 0.4   | 25   | 1.0136          |
-| 0.699         | 0.8   | 50   | 0.9030          |
-| 0.542         | 1.2   | 75   | 1.0245          |
-| 0.3738        | 1.6   | 100  | 0.9830          |
-
-
 ### Framework versions
 
 - Transformers 4.41.0.dev0

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