End of training

README.md

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+---
+base_model: gokuls/HBERTv1_48_L4_H768_A12
+tags:
+- generated_from_trainer
+datasets:
+- massive
+metrics:
+- accuracy
+model-index:
+- name: HBERTv1_48_L4_H768_A12_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: 0.8726020659124447
+---
+
+<!-- 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. -->
+
+# HBERTv1_48_L4_H768_A12_massive
+
+This model is a fine-tuned version of [gokuls/HBERTv1_48_L4_H768_A12](https://huggingface.co/gokuls/HBERTv1_48_L4_H768_A12) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7904
+- Accuracy: 0.8726
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.714         | 1.0   | 180  | 0.7757          | 0.7826   |
+| 0.6529        | 2.0   | 360  | 0.6221          | 0.8328   |
+| 0.4238        | 3.0   | 540  | 0.5757          | 0.8544   |
+| 0.2832        | 4.0   | 720  | 0.5940          | 0.8544   |
+| 0.2056        | 5.0   | 900  | 0.6066          | 0.8495   |
+| 0.1417        | 6.0   | 1080 | 0.6677          | 0.8559   |
+| 0.0983        | 7.0   | 1260 | 0.6791          | 0.8519   |
+| 0.0741        | 8.0   | 1440 | 0.7092          | 0.8495   |
+| 0.0495        | 9.0   | 1620 | 0.7061          | 0.8687   |
+| 0.0356        | 10.0  | 1800 | 0.7682          | 0.8633   |
+| 0.0243        | 11.0  | 1980 | 0.7785          | 0.8623   |
+| 0.0144        | 12.0  | 2160 | 0.7833          | 0.8677   |
+| 0.0099        | 13.0  | 2340 | 0.7941          | 0.8711   |
+| 0.0063        | 14.0  | 2520 | 0.7904          | 0.8726   |
+| 0.0037        | 15.0  | 2700 | 0.8014          | 0.8677   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.14.5
+- Tokenizers 0.14.0

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