Model save

README.md

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+---
+base_model: microsoft/trocr-base-printed
+tags:
+- generated_from_trainer
+model-index:
+- name: trocr-base-printed_license_plates_ocr_timestamp
+  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. -->
+
+# trocr-base-printed_license_plates_ocr_timestamp
+
+This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-printed) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0631
+- Cer: 0.01
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 10.4185       | 1.0   | 315  | 0.3811          | 0.0792 |
+| 0.5419        | 2.0   | 630  | 0.1693          | 0.0311 |
+| 0.5419        | 3.0   | 945  | 0.0963          | 0.0134 |
+| 0.0944        | 4.0   | 1260 | 0.0631          | 0.01   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 64,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.36.2",
+  "use_cache": false
+}