Training in progress, step 500

README.md

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+---
+license: cc-by-4.0
+base_model: deepset/roberta-base-squad2
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-squad2-finetuned-newqa1
+  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. -->
+
+# roberta-base-squad2-finetuned-newqa1
+
+This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3201
+
+## 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: 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 66   | 2.2730          |
+| No log        | 2.0   | 132  | 1.9853          |
+| No log        | 3.0   | 198  | 2.0627          |
+| No log        | 4.0   | 264  | 2.3190          |
+| No log        | 5.0   | 330  | 2.5382          |
+| No log        | 6.0   | 396  | 3.0129          |
+| No log        | 7.0   | 462  | 3.0762          |
+| 1.127         | 8.0   | 528  | 3.3226          |
+| 1.127         | 9.0   | 594  | 3.4531          |
+| 1.127         | 10.0  | 660  | 3.9486          |
+| 1.127         | 11.0  | 726  | 3.7776          |
+| 1.127         | 12.0  | 792  | 3.5990          |
+| 1.127         | 13.0  | 858  | 3.7593          |
+| 1.127         | 14.0  | 924  | 4.0871          |
+| 1.127         | 15.0  | 990  | 4.0839          |
+| 0.1163        | 16.0  | 1056 | 4.2244          |
+| 0.1163        | 17.0  | 1122 | 4.2595          |
+| 0.1163        | 18.0  | 1188 | 4.3196          |
+| 0.1163        | 19.0  | 1254 | 4.3051          |
+| 0.1163        | 20.0  | 1320 | 4.3201          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "deepset/roberta-base-squad2",
+  "architectures": [
+    "RobertaForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "language": "english",
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "name": "Roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "bos_token": {
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+}

training_args.bin

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