End of training

README.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+base_model: hfl/chinese-bert-wwm-ext
+tags:
+- generated_from_trainer
+model-index:
+- name: qa_plot
+  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_plot
+
+This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1978
+
+## 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: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.1866        | 1.0   | 13687 | 1.1681          |
+| 0.8957        | 2.0   | 27374 | 1.1712          |
+| 1.113         | 3.0   | 41061 | 1.5591          |
+| 0.8321        | 4.0   | 54748 | 1.6299          |
+| 0.6172        | 5.0   | 68435 | 1.6239          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- 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:aae84e7f7513820e7fa0176aae59b8afa516c42c0d51e170b022dd7c14bac4e5
+oid sha256:52c6e722bed97d2f1b62a6b0412d1da8100b0705b526cb0fee8d949631fe761f
 size 406782566