End of training

README.md

@@ -1,29 +1,39 @@
 ---
 license: apache-2.0
-base_model: google/bert_uncased_L-2_H-128_A-2
+base_model: agvidit1/GoogleTinyBert_HateSpeech_pretrain
 tags:
 - generated_from_trainer
 datasets:
 - hate_speech18
+metrics:
+- accuracy
 model-index:
-- name: bert-tiny-distilled
-  results: []
+- name: berttiny-hate_speech18-bothpretrained
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: hate_speech18
+      type: hate_speech18
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.879798903107861
 ---
 
 <!-- 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-distilled
+# berttiny-hate_speech18-bothpretrained
 
-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 hate_speech18 dataset.
+This model is a fine-tuned version of [agvidit1/GoogleTinyBert_HateSpeech_pretrain](https://huggingface.co/agvidit1/GoogleTinyBert_HateSpeech_pretrain) on the hate_speech18 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4745
-- eval_accuracy: 0.8556
-- eval_runtime: 20.4101
-- eval_samples_per_second: 107.202
-- eval_steps_per_second: 0.882
-- epoch: 1.0
-- step: 479
+- Loss: 0.4682
+- Accuracy: 0.8798
 
 ## Model description
 
@@ -42,14 +52,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7.474176155523857e-05
+- learning_rate: 7.12739424754752e-05
 - train_batch_size: 16
 - eval_batch_size: 128
-- seed: 23
+- seed: 34
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 4
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4804        | 1.0   | 479  | 0.4778          | 0.8624   |
+| 0.4592        | 2.0   | 958  | 0.4688          | 0.8761   |
+| 0.4471        | 3.0   | 1437 | 0.4681          | 0.8780   |
+| 0.4405        | 4.0   | 1916 | 0.4682          | 0.8798   |
+
+
 ### Framework versions
 
 - Transformers 4.36.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a5cc6cf3fafefe79240f2a01b1f7f238e985c6d29b175003aa8e05df47f9645a
 size 17550344