Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: qa_bert
+  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. -->
+
+# qa_bert
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1919
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 5    | 4.3471          |
+| No log        | 2.0   | 10   | 3.9580          |
+| No log        | 3.0   | 15   | 3.6369          |
+| No log        | 4.0   | 20   | 3.4208          |
+| No log        | 5.0   | 25   | 3.2518          |
+| No log        | 6.0   | 30   | 3.1457          |
+| No log        | 7.0   | 35   | 3.1137          |
+| No log        | 8.0   | 40   | 3.0394          |
+| No log        | 9.0   | 45   | 3.1155          |
+| No log        | 10.0  | 50   | 3.0261          |
+| No log        | 11.0  | 55   | 3.0586          |
+| No log        | 12.0  | 60   | 3.0611          |
+| No log        | 13.0  | 65   | 3.1168          |
+| No log        | 14.0  | 70   | 3.1280          |
+| No log        | 15.0  | 75   | 3.1640          |
+| No log        | 16.0  | 80   | 3.1589          |
+| No log        | 17.0  | 85   | 3.1679          |
+| No log        | 18.0  | 90   | 3.1905          |
+| No log        | 19.0  | 95   | 3.1907          |
+| No log        | 20.0  | 100  | 3.1919          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.7
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "/ltstorage/shares/datasets/glllm/data/finetuning/BERT/BERT-legal-de-cased",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

emissions.csv

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model.safetensors

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runs/Feb23_22-38-41_hcdsgpu2/events.out.tfevents.1708727928.hcdsgpu2.3250659.0

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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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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