End of training

README.md

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+---
+base_model: Ransaka/sinhala-ocr-model
+tags:
+- generated_from_trainer
+model-index:
+- name: sinhala-ocr-model-v3
+  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. -->
+
+# sinhala-ocr-model-v3
+
+This model is a fine-tuned version of [Ransaka/sinhala-ocr-model](https://huggingface.co/Ransaka/sinhala-ocr-model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.7242
+- Cer: 0.2764
+
+## 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
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.6711        | 6.54  | 500  | 4.9311          | 0.4178 |
+| 2.3499        | 13.07 | 1000 | 4.5366          | 0.3482 |
+| 1.5601        | 19.61 | 1500 | 4.4634          | 0.3204 |
+| 0.987         | 26.14 | 2000 | 4.4804          | 0.3011 |
+| 0.6487        | 32.68 | 2500 | 4.6310          | 0.2863 |
+| 0.3816        | 39.22 | 3000 | 4.6093          | 0.2788 |
+| 0.3494        | 45.75 | 3500 | 4.6291          | 0.2827 |
+| 0.2357        | 52.29 | 4000 | 4.6399          | 0.2780 |
+| 0.2188        | 58.82 | 4500 | 4.6313          | 0.2798 |
+| 0.1413        | 65.36 | 5000 | 4.6828          | 0.2768 |
+| 0.0985        | 71.9  | 5500 | 4.7135          | 0.2772 |
+| 0.1086        | 78.43 | 6000 | 4.7242          | 0.2764 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.0
+- Datasets 2.16.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 3,
+  "length_penalty": 2.0,
+  "max_length": 64,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2",
+  "use_cache": false
+}

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runs/Jan05_08-06-57_a15af13407bd/events.out.tfevents.1704442018.a15af13407bd.26.0

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