End of training

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: google/bigbird-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: bigbird-QA-squad_v2
+  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. -->
+
+# bigbird-QA-squad_v2
+
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the squad_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8643
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0336        | 1.0   | 3258 | 0.8670          |
+| 0.7258        | 2.0   | 6516 | 0.7837          |
+| 0.4551        | 3.0   | 9774 | 0.8643          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42dd019dc60a4a44e57b0b3d1abb79af58130b28dee615f6f2dfea36f124909d
+oid sha256:48f13f9c3777c566228d157ba04449f575eaaff5e4422bcbf894845b4a928f2a
 size 526484609