Change the model configuration to trocr
This commit is contained in:
@@ -10,18 +10,18 @@ from ...globals import (
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from transformers import (
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RobertaTokenizerFast,
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VisionEncoderDecoderModel,
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VisionEncoderDecoderConfig
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VisionEncoderDecoderConfig,
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)
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class TexTeller(VisionEncoderDecoderModel):
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REPO_NAME = 'OleehyO/TexTeller'
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def __init__(self):
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config = VisionEncoderDecoderConfig.from_pretrained('/home/lhy/code/TexTeller/src/models/ocr_model/model/trocr-small')
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config = VisionEncoderDecoderConfig.from_pretrained(Path(__file__).resolve().parent / "config.json")
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config.encoder.image_size = FIXED_IMG_SIZE
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config.encoder.num_channels = IMG_CHANNELS
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config.decoder.vocab_size=VOCAB_SIZE
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config.decoder.max_position_embeddings=MAX_TOKEN_SIZE
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config.decoder.vocab_size = VOCAB_SIZE
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config.decoder.max_position_embeddings = MAX_TOKEN_SIZE
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super().__init__(config=config)
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156
src/models/ocr_model/model/config.json
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156
src/models/ocr_model/model/config.json
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@@ -0,0 +1,156 @@
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{
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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": "gelu",
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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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"bad_words_ids": null,
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"bos_token_id": 0,
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"chunk_size_feed_forward": 0,
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"classifier_dropout": 0.0,
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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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"cross_attention_hidden_size": 768,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 2,
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"finetuning_task": 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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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 512,
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"min_length": 0,
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"model_type": "trocr",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 1,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"scale_embedding": false,
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"sep_token_id": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.12.0.dev0",
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"use_bfloat16": false,
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"use_cache": false,
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"vocab_size": 50265
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},
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"encoder": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": null,
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"attention_probs_dropout_prob": 0.0,
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"bad_words_ids": null,
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"decoder_start_token_id": null,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"cross_attention_hidden_size": null,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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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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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"model_type": "vit",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 12,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": null,
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"patch_size": 16,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"qkv_bias": false,
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"sep_token_id": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.12.0.dev0",
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"use_bfloat16": false
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},
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"is_encoder_decoder": true,
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"model_type": "vision-encoder-decoder",
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": null
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}
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