End of training

README.md

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+---
+base_model: squantumengine/donut-stnk-v4_mid
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-stnk-v5-mid-with-location-code
+  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. -->
+
+# donut-stnk-v5-mid-with-location-code
+
+This model is a fine-tuned version of [squantumengine/donut-stnk-v4_mid](https://huggingface.co/squantumengine/donut-stnk-v4_mid) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1469
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 95   | 0.1490          |
+| 0.196         | 2.0   | 190  | 0.1486          |
+| 0.0822        | 3.0   | 285  | 0.1469          |
+| 0.0438        | 4.0   | 380  | 0.1736          |
+| 0.0256        | 5.0   | 475  | 0.1507          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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