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diff --git a/README.md b/README.md
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--- /dev/null
+++ b/README.md
@@ -0,0 +1,65 @@
+---
+library_name: transformers
+base_model: Sans1807/content
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Sans1807/content
+  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. -->
+
+# Sans1807/content
+
+This model is a fine-tuned version of [Sans1807/content](https://huggingface.co/Sans1807/content) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0944
+- Cer: 0.0078
+- Wer: 0.0406
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Cer    | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 0.0005        | 5.0761  | 1000 | 0.0714          | 0.0119 | 0.0584 |
+| 0.0           | 10.1523 | 2000 | 0.0821          | 0.0115 | 0.0533 |
+| 0.003         | 15.2284 | 3000 | 0.0877          | 0.0091 | 0.0381 |
+| 0.0157        | 20.3046 | 4000 | 0.0944          | 0.0078 | 0.0406 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 2.17.0
+- Tokenizers 0.19.1
diff --git a/config.json b/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c8e8a2d148f978d9b11178bcfd5cf64946bfef8
--- /dev/null
+++ b/config.json
@@ -0,0 +1,178 @@
+{
+  "_name_or_path": "Sans1807/content",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "",
+    "activation_dropout": 0.0,
+    "activation_function": "gelu",
+    "add_cross_attention": true,
+    "architectures": null,
+    "attention_dropout": 0.0,
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+    "begin_suppress_tokens": null,
+    "bos_token_id": 0,
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+    "cross_attention_hidden_size": 768,
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+    "decoder_attention_heads": 16,
+    "decoder_ffn_dim": 4096,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 12,
+    "decoder_start_token_id": 2,
+    "diversity_penalty": 0.0,
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+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 2,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "init_std": 0.02,
+    "is_decoder": true,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layernorm_embedding": true,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "trocr",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 1,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "scale_embedding": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
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+    "torch_dtype": null,
+    "torchscript": false,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": false,
+    "use_learned_position_embeddings": true,
+    "vocab_size": 50265
+  },
+  "decoder_start_token_id": 0,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_probs_dropout_prob": 0.0,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "encoder_stride": 16,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 384,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "vit",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 16,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "qkv_bias": false,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "typical_p": 1.0,
+    "use_bfloat16": false
+  },
+  "eos_token_id": 2,
+  "is_encoder_decoder": true,
+  "length_penalty": 2.0,
+  "max_length": 64,
+  "model_type": "vision-encoder-decoder",
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 50265
+}
diff --git a/filtered_data_1.csv b/filtered_data_1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e121a9194e85b1ec20399359c64979ea9d2c3377
--- /dev/null
+++ b/filtered_data_1.csv
@@ -0,0 +1,3941 @@
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+}
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diff --git a/preprocessor_config.json b/preprocessor_config.json
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+{"time":"2024-10-01T08:32:49.782115978Z","level":"INFO","msg":"created symlink","path":"/kaggle/working/wandb/run-20241001_083249-u0irpiiu/logs/debug-core.log"}
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diff --git a/wandb/debug.log b/wandb/debug.log
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+2024-10-01 08:32:49,774 INFO    MainThread:30 [wandb_setup.py:_flush():77] Current SDK version is 0.18.1
+2024-10-01 08:32:49,774 INFO    MainThread:30 [wandb_setup.py:_flush():77] Configure stats pid to 30
+2024-10-01 08:32:49,775 INFO    MainThread:30 [wandb_setup.py:_flush():77] Loading settings from /root/.config/wandb/settings
+2024-10-01 08:32:49,775 INFO    MainThread:30 [wandb_setup.py:_flush():77] Loading settings from /kaggle/working/wandb/settings
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+2024-10-01 08:32:49,776 INFO    MainThread:30 [wandb_init.py:init():623] wandb.init called with sweep_config: {}
+config: {}
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+2024-10-01 08:32:49,797 INFO    MainThread:30 [wandb_run.py:_label_probe_notebook():1340] probe notebook
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+2024-10-01 08:32:51,459 INFO    MainThread:30 [wandb_run.py:_console_start():2459] atexit reg
+2024-10-01 08:32:51,459 INFO    MainThread:30 [wandb_run.py:_redirect():2307] redirect: wrap_raw
+2024-10-01 08:32:51,460 INFO    MainThread:30 [wandb_run.py:_redirect():2372] Wrapping output streams.
+2024-10-01 08:32:51,460 INFO    MainThread:30 [wandb_run.py:_redirect():2397] Redirects installed.
+2024-10-01 08:32:51,466 INFO    MainThread:30 [wandb_init.py:init():900] run started, returning control to user process
+2024-10-01 08:32:51,473 INFO    MainThread:30 [wandb_run.py:_config_callback():1388] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 64, 'min_length': 0, 'do_sample': False, 'early_stopping': True, 'num_beams': 4, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 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'architectures': None, 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 2, 'task_specific_params': None, 'problem_type': None, '_name_or_path': '', 'classifier_dropout': 0.0, 'model_type': 'trocr'}, 'encoder': {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 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None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'eval_use_gather_object': False, 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
+2024-10-01 08:32:51,479 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 333921792 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f1a2136b3a0>>
+2024-10-01 08:32:51,479 INFO    MainThread:30 [wandb_run.py:_config_callback():1388] config_cb model/num_parameters 333921792 None
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+2024-10-01 11:54:23,346 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
+2024-10-01 11:54:23,347 INFO    MainThread:30 [wandb_init.py:_pause_backend():443] pausing backend
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diff --git a/wandb/run-20241001_083249-u0irpiiu/files/output.log b/wandb/run-20241001_083249-u0irpiiu/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..631023d51d7663735c868bbc8e227b380a593c71
--- /dev/null
+++ b/wandb/run-20241001_083249-u0irpiiu/files/output.log
@@ -0,0 +1,24 @@
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:79: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.device(device), torch.cuda.stream(stream), autocast(enabled=autocast_enabled):
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 64, 'early_stopping': True, 'num_beams': 4, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3}
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:79: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.device(device), torch.cuda.stream(stream), autocast(enabled=autocast_enabled):
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 64, 'early_stopping': True, 'num_beams': 4, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3}
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:79: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.device(device), torch.cuda.stream(stream), autocast(enabled=autocast_enabled):
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 64, 'early_stopping': True, 'num_beams': 4, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3}
+The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.
+Token is valid (permission: fineGrained).
+Your token has been saved to /root/.cache/huggingface/token
+Login successful
+Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 64, 'early_stopping': True, 'num_beams': 4, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3}
diff --git a/wandb/run-20241001_083249-u0irpiiu/files/requirements.txt b/wandb/run-20241001_083249-u0irpiiu/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..929831f2e7f38c84f611c0111af910b1b24e5ba1
--- /dev/null
+++ b/wandb/run-20241001_083249-u0irpiiu/files/requirements.txt
@@ -0,0 +1,785 @@
+brotlipy==0.7.0
+PySocks==1.7.1
+conda-content-trust==0+unknown
+six==1.16.0
+ruamel-yaml-conda==0.15.100
+fsspec==2023.10.0
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new file mode 100644
index 0000000000000000000000000000000000000000..c358ac5e793d73fc888f417a5416f2f2f2cdb53f
--- /dev/null
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+}
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new file mode 100644
index 0000000000000000000000000000000000000000..c01f3b49e32440d712cc181dcafe0bb00b02eaed
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new file mode 100644
index 0000000000000000000000000000000000000000..fe85b917d50281a1176978674765675fdbe19cdd
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'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
+2024-10-01 08:32:51,479 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 333921792 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f1a2136b3a0>>
+2024-10-01 08:32:51,479 INFO    MainThread:30 [wandb_run.py:_config_callback():1388] config_cb model/num_parameters 333921792 None
+2024-10-01 11:54:23,223 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
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+2024-10-01 11:54:23,259 INFO    MainThread:30 [wandb_init.py:_resume_backend():448] resuming backend
+2024-10-01 11:54:23,346 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
+2024-10-01 11:54:23,347 INFO    MainThread:30 [wandb_init.py:_pause_backend():443] pausing backend
+2024-10-01 11:54:23,353 INFO    MainThread:30 [wandb_init.py:_resume_backend():448] resuming backend
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