Model save

README.md

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+---
+base_model: microsoft/dit-base-finetuned-rvlcdip
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dit-base-finetuned-rvlcdip-finetuned-custom-first
+  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. -->
+
+# dit-base-finetuned-rvlcdip-finetuned-custom-first
+
+This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0567
+- Accuracy: 0.9949
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3686        | 1.0   | 79   | 0.2356          | 0.9746   |
+| 0.0891        | 2.0   | 158  | 0.0792          | 0.9936   |
+| 0.0652        | 3.0   | 237  | 0.0567          | 0.9949   |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1