End of training

README.md

@@ -1,24 +1,39 @@
 ---
 license: apache-2.0
-base_model: google/bert_uncased_L-2_H-128_A-2
+base_model: agvidit1/DistilledBert_HateSpeech_pretrain
 tags:
 - generated_from_trainer
+datasets:
+- hate_speech18
 metrics:
 - accuracy
 model-index:
-- name: berttiny-hateXplain-parentpretrained
-  results: []
+- name: distilbert-hate_speech18
+  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: 0.8587751371115173
 ---
 
 <!-- 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. -->
 
-# berttiny-hateXplain-parentpretrained
+# distilbert-hate_speech18
 
-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 an unknown dataset.
+This model is a fine-tuned version of [agvidit1/DistilledBert_HateSpeech_pretrain](https://huggingface.co/agvidit1/DistilledBert_HateSpeech_pretrain) on the hate_speech18 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2286
-- Accuracy: 0.7601
+- Loss: 0.4684
+- Accuracy: 0.8588
 
 ## Model description
 
@@ -37,21 +52,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001286744242350192
-- train_batch_size: 128
-- eval_batch_size: 128
+- learning_rate: 5.050180626898551e-06
+- train_batch_size: 32
+- eval_batch_size: 16
 - seed: 33
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.236         | 1.0   | 121  | 0.2296          | 0.7581   |
-| 0.2239        | 2.0   | 242  | 0.2274          | 0.7591   |
-| 0.2174        | 3.0   | 363  | 0.2286          | 0.7601   |
+| 0.4404        | 1.0   | 240  | 0.4670          | 0.8533   |
+| 0.4356        | 2.0   | 480  | 0.4642          | 0.8675   |
+| 0.4303        | 3.0   | 720  | 0.4649          | 0.8748   |
+| 0.4282        | 4.0   | 960  | 0.4694          | 0.8592   |
+| 0.4273        | 5.0   | 1200 | 0.4638          | 0.8729   |
+| 0.4256        | 6.0   | 1440 | 0.4651          | 0.8679   |
+| 0.425         | 7.0   | 1680 | 0.4682          | 0.8560   |
+| 0.4227        | 8.0   | 1920 | 0.4684          | 0.8588   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2ff1680e642eb08587fcaffbf551ece771841388927ece8dde6fe736be1e30e
+oid sha256:4a8b1d69966685411324f5615071195388adbe0defffff357b2f2a960939a6e5
 size 437964800