End of training

README.md

@@ -0,0 +1,69 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: TrOCRTraining2
+  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. -->
+
+# TrOCRTraining2
+
+This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-base-stage1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4589
+- Cer: 0.0115
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.7331        | 1.06  | 50   | 0.8204          | 0.1775 |
+| 0.4908        | 2.13  | 100  | 0.5457          | 0.0229 |
+| 0.4912        | 3.19  | 150  | 0.5845          | 0.0229 |
+| 0.4713        | 4.26  | 200  | 0.5433          | 0.0137 |
+| 0.4435        | 5.32  | 250  | 0.4988          | 0.0126 |
+| 0.4152        | 6.38  | 300  | 0.5058          | 0.0137 |
+| 0.3026        | 7.45  | 350  | 0.4947          | 0.0126 |
+| 0.4133        | 8.51  | 400  | 0.4988          | 0.0115 |
+| 0.4029        | 9.57  | 450  | 0.4906          | 0.0160 |
+| 0.3439        | 10.64 | 500  | 0.4790          | 0.0160 |
+| 0.3386        | 11.7  | 550  | 0.4661          | 0.0103 |
+| 0.3511        | 12.77 | 600  | 0.4617          | 0.0115 |
+| 0.374         | 13.83 | 650  | 0.4629          | 0.0149 |
+| 0.3357        | 14.89 | 700  | 0.4589          | 0.0115 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 64,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.28.1",
+  "use_cache": false
+}

preprocessor_config.json

@@ -13,6 +13,7 @@
     0.5,
     0.5
   ],
+  "processor_class": "TrOCRProcessor",
   "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {

runs/May09_21-59-15_945d7895ffaf/events.out.tfevents.1683669917.945d7895ffaf.413.0

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-size 67888
+oid sha256:566dbe2c5d102428600093b9f3d7bd64f35e59abe23f067b1ddda2ed3398e84b
+size 68242

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,65 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "processor_class": "TrOCRProcessor",
+  "sep_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}