End of training

README.md

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+---
+license: apache-2.0
+base_model: google/bigbird-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- squad
+model-index:
+- name: NF-bigbird-squad
+  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. -->
+
+# NF-bigbird-squad
+
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0218
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 160
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0526        | 1.0   | 1095 | 1.1762          |
+| 0.8623        | 2.0   | 2190 | 1.0830          |
+| 0.8911        | 3.0   | 3285 | 1.0327          |
+| 0.9511        | 4.0   | 4380 | 1.0218          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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