End of training

README.md

@@ -0,0 +1,90 @@
+---
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-512_A-8
+tags:
+- generated_from_trainer
+datasets:
+- massive
+metrics:
+- accuracy
+model-index:
+- name: bert_uncased_L-2_H-512_A-8_massive
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: massive
+      type: massive
+      config: en-US
+      split: validation
+      args: en-US
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8740777176586325
+---
+
+<!-- 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. -->
+
+# bert_uncased_L-2_H-512_A-8_massive
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-512_A-8](https://huggingface.co/google/bert_uncased_L-2_H-512_A-8) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5162
+- Accuracy: 0.8741
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 33
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.9188        | 1.0   | 180  | 1.8187          | 0.6085   |
+| 1.5237        | 2.0   | 360  | 1.0972          | 0.7585   |
+| 0.9995        | 3.0   | 540  | 0.8257          | 0.7978   |
+| 0.7371        | 4.0   | 720  | 0.6883          | 0.8318   |
+| 0.5734        | 5.0   | 900  | 0.6198          | 0.8455   |
+| 0.4599        | 6.0   | 1080 | 0.5870          | 0.8569   |
+| 0.3835        | 7.0   | 1260 | 0.5654          | 0.8574   |
+| 0.3262        | 8.0   | 1440 | 0.5414          | 0.8652   |
+| 0.279         | 9.0   | 1620 | 0.5282          | 0.8697   |
+| 0.2435        | 10.0  | 1800 | 0.5281          | 0.8677   |
+| 0.2199        | 11.0  | 1980 | 0.5156          | 0.8697   |
+| 0.1999        | 12.0  | 2160 | 0.5162          | 0.8741   |
+| 0.1824        | 13.0  | 2340 | 0.5224          | 0.8736   |
+| 0.1712        | 14.0  | 2520 | 0.5223          | 0.8731   |
+| 0.1627        | 15.0  | 2700 | 0.5206          | 0.8716   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5fc13b4788f494427382af201fb44a0ae47439c9627733c545a7380b5ab94975
+oid sha256:a3515dca611e951a566d8fdd103ea0031db406219f81d203287e08d68680e86f
 size 89972908