Model save

README.md

@@ -0,0 +1,60 @@
+---
+base_model: nghuyong/ernie-3.0-xbase-zh
+tags:
+- generated_from_trainer
+model-index:
+- name: ernie-3.0-xbase-zh-RETACRED-1114
+  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. -->
+
+# ernie-3.0-xbase-zh-RETACRED-1114
+
+This model is a fine-tuned version of [nghuyong/ernie-3.0-xbase-zh](https://huggingface.co/nghuyong/ernie-3.0-xbase-zh) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1560
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5417        | 1.0   | 1828 | 1.9809          |
+| 1.5712        | 2.0   | 3656 | 1.9847          |
+| 1.5431        | 3.0   | 5484 | 2.1279          |
+| 1.5233        | 4.0   | 7312 | 2.1653          |
+| 1.517         | 5.0   | 9140 | 2.1560          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

runs/Nov14_07-16-05_a7590f86419c/events.out.tfevents.1699951083.a7590f86419c.184.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9eecce04580948c19875e09baa59528fdfce00aee9dc5e47227f7671e8ebbbcb
+size 359