End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+model-index:
+- name: model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8302752293577982
+---
+
+<!-- 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. -->
+
+# model
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9810
+- Accuracy: 0.8303
+
+## 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: 0.00010445576414788915
+- train_batch_size: 1024
+- eval_batch_size: 1024
+- seed: 33
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6492        | 1.0   | 66   | 1.2487          | 0.7844   |
+| 1.0585        | 2.0   | 132  | 1.0561          | 0.8073   |
+| 0.8081        | 3.0   | 198  | 0.9585          | 0.8154   |
+| 0.6595        | 4.0   | 264  | 0.9454          | 0.8268   |
+| 0.5681        | 5.0   | 330  | 0.9372          | 0.8257   |
+| 0.512         | 6.0   | 396  | 0.9471          | 0.8303   |
+| 0.4868        | 7.0   | 462  | 0.9803          | 0.8291   |
+| 0.4643        | 8.0   | 528  | 0.9699          | 0.8326   |
+| 0.4498        | 9.0   | 594  | 0.9791          | 0.8280   |
+| 0.4402        | 10.0  | 660  | 0.9810          | 0.8303   |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.1
+- Datasets 1.15.1
+- Tokenizers 0.10.3

logs/events.out.tfevents.1717954431.algo-1.45.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8eea8696bb54625aa491621b11c7ca75cf8beabd36a013702c811bb8ce5e5ea9
-size 8021
+oid sha256:c2a126c6508a3043b056deb4f626a9d5784b3957a12d147bac2c2c515624e279
+size 8375

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:815e79b270d116a783b7a3b14c9028076e4f145b1eb71fd06f6448dd8bbfe905
+oid sha256:df11e3a70bc9b1e2af73d1ad00b7734e979b5a99cb3fd44d241585bdba4857d0
 size 17564583