Zawarudoooo
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Model save
Browse files- README.md +51 -0
- config.json +177 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Apr17_18-42-49_63cfafa97f7c/events.out.tfevents.1713379662.63cfafa97f7c.34.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: microsoft/trocr-large-printed
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tags:
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- generated_from_trainer
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model-index:
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- name: trocr-large-printed-cmc7_tesseract_MICR_ocr
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# trocr-large-printed-cmc7_tesseract_MICR_ocr
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This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggingface.co/microsoft/trocr-large-printed) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "microsoft/trocr-large-printed",
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"add_cross_attention": true,
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"architectures": null,
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"attention_dropout": 0.0,
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"classifier_dropout": 0.0,
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"cross_attention_hidden_size": 1024,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"dropout": 0.1,
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"early_stopping": false,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 2,
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"exponential_decay_length_penalty": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"init_std": 0.02,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layernorm_embedding": false,
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 1024,
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"min_length": 0,
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"model_type": "trocr",
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"num_beam_groups": 1,
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"return_dict": true,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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},
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"hidden_act": "gelu",
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"image_size": 384,
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"intermediate_size": 4096,
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"model_type": "vit",
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},
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"length_penalty": -1,
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"max_length": 39,
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"model_type": "vision-encoder-decoder",
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"no_repeat_ngram_size": 3,
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"num_beams": 8,
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"pad_token_id": 1,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"vocab_size": 50265
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.39.3",
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"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:74da9c89e8a1ee4ccdc336da1fce45f84a73b7a4a49241052ee795486ceb6b8f
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size 2436757100
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 384,
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"width": 384
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}
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}
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runs/Apr17_18-42-49_63cfafa97f7c/events.out.tfevents.1713379662.63cfafa97f7c.34.0
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:4dbf4b5cb6cb9233255dab4931bfb8a35fe06e127b90ac5b44eff57552544ed9
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size 28837
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:49c071f5b6c8a1c5e68a05319806bb9b503775f31acbe99ddd5fb9ed7f7bf754
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size 5112
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