End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: bert-tiny-emotion-KD-BERT
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9175
+---
+
+<!-- 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-tiny-emotion-KD-BERT
+
+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 emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4810
+- Accuracy: 0.9175
+
+## 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: 16
+- seed: 33
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 3.8247        | 1.0   | 1000  | 2.5170          | 0.7745   |
+| 1.9864        | 2.0   | 2000  | 1.3436          | 0.874    |
+| 1.1126        | 3.0   | 3000  | 0.8299          | 0.894    |
+| 0.6924        | 4.0   | 4000  | 0.6500          | 0.9025   |
+| 0.5272        | 5.0   | 5000  | 0.6097          | 0.908    |
+| 0.4298        | 6.0   | 6000  | 0.5913          | 0.904    |
+| 0.3936        | 7.0   | 7000  | 0.5165          | 0.9135   |
+| 0.3238        | 8.0   | 8000  | 0.5120          | 0.9075   |
+| 0.3018        | 9.0   | 9000  | 0.4989          | 0.916    |
+| 0.2605        | 10.0  | 10000 | 0.4810          | 0.9175   |
+| 0.2512        | 11.0  | 11000 | 0.4757          | 0.9135   |
+| 0.219         | 12.0  | 12000 | 0.4676          | 0.914    |
+| 0.2046        | 13.0  | 13000 | 0.4794          | 0.911    |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1

logs/events.out.tfevents.1664046419.85a9cd62cad8.69.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d52ca16a09748a02d8a88ff6f9f6b600793b0bffffe92be2d668a94a05b9d27
-size 10147
+oid sha256:c9e71f24cf6e44ea1aaa3712925d158d1e746e58a6ea088b2ad0cedff93f2af2
+size 10501

logs/events.out.tfevents.1664047101.85a9cd62cad8.69.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cbd49e9ca6bae9347bf200e1eebaad81143fb4e80c92d8aa5a2e03d3178d2d5
+size 363

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca43081d801af0ff6e60a5b2a441ab4d2a15f705028019a7c7235802f0cc3ce3
+oid sha256:d45c06ababfa4ffae39839835fa645f2ed72e90d504f2986bda5fdeb55eadc5c
 size 17563879