End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: bankstatementmodelver1
+  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. -->
+
+# bankstatementmodelver1
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.9506
+
+## 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: 0.01
+- train_batch_size: 16
+- eval_batch_size: 11
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| No log        | 1.0   | 250   | 5.9506          |
+| 5.9757        | 2.0   | 500   | 5.9506          |
+| 5.9757        | 3.0   | 750   | 5.9506          |
+| 5.9729        | 4.0   | 1000  | 5.9506          |
+| 5.9729        | 5.0   | 1250  | 5.9506          |
+| 5.9635        | 6.0   | 1500  | 5.9506          |
+| 5.9635        | 7.0   | 1750  | 5.9506          |
+| 5.9611        | 8.0   | 2000  | 5.9506          |
+| 5.9611        | 9.0   | 2250  | 5.9506          |
+| 5.9607        | 10.0  | 2500  | 5.9506          |
+| 5.9607        | 11.0  | 2750  | 5.9506          |
+| 5.96          | 12.0  | 3000  | 5.9506          |
+| 5.96          | 13.0  | 3250  | 5.9506          |
+| 5.9608        | 14.0  | 3500  | 5.9506          |
+| 5.9608        | 15.0  | 3750  | 5.9506          |
+| 5.9588        | 16.0  | 4000  | 5.9506          |
+| 5.9588        | 17.0  | 4250  | 5.9506          |
+| 5.9584        | 18.0  | 4500  | 5.9506          |
+| 5.9584        | 19.0  | 4750  | 5.9506          |
+| 5.9581        | 20.0  | 5000  | 5.9506          |
+| 5.9581        | 21.0  | 5250  | 5.9506          |
+| 5.9558        | 22.0  | 5500  | 5.9506          |
+| 5.9558        | 23.0  | 5750  | 5.9506          |
+| 5.9558        | 24.0  | 6000  | 5.9506          |
+| 5.9558        | 25.0  | 6250  | 5.9506          |
+| 5.9557        | 26.0  | 6500  | 5.9506          |
+| 5.9557        | 27.0  | 6750  | 5.9506          |
+| 5.955         | 28.0  | 7000  | 5.9506          |
+| 5.955         | 29.0  | 7250  | 5.9506          |
+| 5.9537        | 30.0  | 7500  | 5.9506          |
+| 5.9537        | 31.0  | 7750  | 5.9506          |
+| 5.9535        | 32.0  | 8000  | 5.9506          |
+| 5.9535        | 33.0  | 8250  | 5.9506          |
+| 5.9528        | 34.0  | 8500  | 5.9506          |
+| 5.9528        | 35.0  | 8750  | 5.9506          |
+| 5.9529        | 36.0  | 9000  | 5.9506          |
+| 5.9529        | 37.0  | 9250  | 5.9506          |
+| 5.9525        | 38.0  | 9500  | 5.9506          |
+| 5.9525        | 39.0  | 9750  | 5.9506          |
+| 5.9516        | 40.0  | 10000 | 5.9506          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "results",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "vocab_size": 30522
+}

pytorch_model.bin

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+size 265492517

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 384,
+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "only_second",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4027