End of training

README.md

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+---
+library_name: transformers
+language:
+- fr
+base_model: microsoft/trocr-small-handwritten
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: TrOCR Small (Finetuned on French)
+  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 Small (Finetuned on French)
+
+This model is a fine-tuned version of [microsoft/trocr-small-handwritten](https://huggingface.co/microsoft/trocr-small-handwritten) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1007
+- Model Preparation Time: 0.0057
+- Cer: 0.0138
+- Wer: 0.0455
+- Ratio: 98.3979
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 12000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Model Preparation Time | Cer    | Wer    | Ratio   |
+|:-------------:|:------:|:-----:|:---------------:|:----------------------:|:------:|:------:|:-------:|
+| 0.1386        | 0.0333 | 400   | 0.1543          | 0.0057                 | 0.0190 | 0.0819 | 98.6922 |
+| 0.1298        | 0.0667 | 800   | 0.1300          | 0.0057                 | 0.0130 | 0.0526 | 98.9649 |
+| 0.1171        | 0.1    | 1200  | 0.1622          | 0.0057                 | 0.0200 | 0.0760 | 98.3437 |
+| 0.1035        | 0.1333 | 1600  | 0.1538          | 0.0057                 | 0.0190 | 0.0760 | 98.6841 |
+| 0.1186        | 0.1667 | 2000  | 0.1605          | 0.0057                 | 0.0170 | 0.0760 | 98.9547 |
+| 0.1285        | 0.2    | 2400  | 0.1675          | 0.0057                 | 0.0190 | 0.0643 | 98.5663 |
+| 0.1043        | 0.2333 | 2800  | 0.1511          | 0.0057                 | 0.0220 | 0.0702 | 98.4283 |
+| 0.1294        | 0.2667 | 3200  | 0.1647          | 0.0057                 | 0.0150 | 0.0526 | 98.9361 |
+| 0.0954        | 0.3    | 3600  | 0.1532          | 0.0057                 | 0.0160 | 0.0526 | 98.7555 |
+| 0.111         | 0.3333 | 4000  | 0.1577          | 0.0057                 | 0.0210 | 0.0643 | 98.1890 |
+| 0.114         | 0.3667 | 4400  | 0.1378          | 0.0057                 | 0.0160 | 0.0585 | 98.6565 |
+| 0.1183        | 0.4    | 4800  | 0.1163          | 0.0057                 | 0.0070 | 0.0351 | 99.3075 |
+| 0.1277        | 0.4333 | 5200  | 0.1571          | 0.0057                 | 0.0160 | 0.0760 | 98.8328 |
+| 0.1219        | 0.4667 | 5600  | 0.1571          | 0.0057                 | 0.0150 | 0.0526 | 98.7910 |
+| 0.1101        | 0.5    | 6000  | 0.1245          | 0.0057                 | 0.0130 | 0.0526 | 99.0524 |
+| 0.1069        | 0.5333 | 6400  | 0.1470          | 0.0057                 | 0.0130 | 0.0585 | 99.0389 |
+| 0.1126        | 0.5667 | 6800  | 0.1302          | 0.0057                 | 0.0140 | 0.0526 | 98.9437 |
+| 0.0837        | 1.0137 | 7200  | 0.1323          | 0.0057                 | 0.0200 | 0.0702 | 98.4624 |
+| 0.0809        | 1.047  | 7600  | 0.1180          | 0.0057                 | 0.0100 | 0.0409 | 99.4630 |
+| 0.0889        | 1.0803 | 8000  | 0.1241          | 0.0057                 | 0.0180 | 0.0702 | 98.7486 |
+| 0.0711        | 1.1137 | 8400  | 0.1174          | 0.0057                 | 0.0150 | 0.0585 | 98.8769 |
+| 0.0736        | 1.147  | 8800  | 0.1166          | 0.0057                 | 0.0120 | 0.0468 | 99.0708 |
+| 0.0786        | 1.1803 | 9200  | 0.1080          | 0.0057                 | 0.0080 | 0.0351 | 99.5225 |
+| 0.0686        | 1.2137 | 9600  | 0.1037          | 0.0057                 | 0.0070 | 0.0292 | 99.5887 |
+| 0.0738        | 1.2470 | 10000 | 0.1127          | 0.0057                 | 0.0140 | 0.0468 | 99.0132 |
+| 0.07          | 1.2803 | 10400 | 0.1051          | 0.0057                 | 0.0120 | 0.0409 | 99.0954 |
+| 0.0697        | 1.3137 | 10800 | 0.1003          | 0.0057                 | 0.0090 | 0.0292 | 99.2171 |
+| 0.0686        | 1.347  | 11200 | 0.1038          | 0.0057                 | 0.0120 | 0.0351 | 98.9317 |
+| 0.0763        | 1.3803 | 11600 | 0.1028          | 0.0057                 | 0.0120 | 0.0351 | 98.9317 |
+| 0.0717        | 1.4137 | 12000 | 0.1018          | 0.0057                 | 0.0120 | 0.0351 | 98.9317 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+    "id2label": {
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+}

generation_config.json

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